Research Interests

Experience and Education

2017-present Associate Professor of Computer Science Cornell University
2009-2017 Assistant Professor of Computer Science Cornell University
2006-2009 Courant Instructor of Mathematics New York University
1999-2006 Ph.D. in Computer Science University of California, Berkeley
1995-1999 B.S. in Math and Computer Science University of Maryland, College Park

Awards

2015 Middleware Best Student Paper
2015 KDD Best Student Paper
2015 SIGEST Featured Paper
Featured paper in SIAM Review from specialist journals on a rotating basis
2015 SIAG/LA Prize
Awarded once every three years for the best applied linear algebra journal paper.
2014 Douglas Whitney Award
Awarded annually to a Cornell Engineering faculty for teaching excellence.
2010 Sloan Research Fellowship
2008 Alston S. Householder Award
Awarded once every three years for best thesis in numerical linear algebra.
1999 NSF Graduate Student Fellowship

Publications

Journal papers

  1. C. Ponce and D. Bindel, “FLiER: Practical Topology Update Detection Using Sparse PMUs,” IEEE Transactions on Power Systems, vol. PP, no. 99, pp. 1–1, 2017.
    @article{2017-tps,
      author = {Ponce, Colin and Bindel, David},
      title = {{FLiER}: Practical Topology Update Detection Using Sparse {PMU}s},
      journal = {IEEE Transactions on Power Systems},
      volume = {PP},
      number = {99},
      pages = {1--1},
      year = {2017},
      doi = {https://doi.org/10.1109/TPWRS.2017.2662002}
    }
    
  2. E. Yilmaz and D. Bindel, “Temperature Sensitivity and Shape Optimization of Solid-State Wave Gyroscopes,” IEEE Sensors, vol. 16, no. 6, pp. 6213–6221, 2016.
    @article{2016-sensors,
      author = {Yilmaz, Erdal and Bindel, David},
      title = {Temperature Sensitivity and Shape Optimization of
                 Solid-State Wave Gyroscopes},
      journal = {IEEE Sensors},
      volume = {16},
      number = {6},
      pages = {6213--6221},
      year = {2016},
      doi = {10.1109/JSEN.2016.2580670}
    }
    

    Abstract:

    We analyze the change of angular gain and vibration frequency of solid-state wave gyroscopes as a result of geometry perturbations due to thermal expansion. We analyze sensitivity of the device to thermal expansion effects by an isoparametric finite element analysis method, and we analyze the sensitivity to thermal changes in the material properties assuming a linear dependence on temperature. We quantify these sensitivities for common device geometries, and use our analysis as the basis for a local optimization problem that minimizes temperature sensitivity as a function of device shape.

  3. D. Bindel and A. Hood, “Localization Theorems for Nonlinear Eigenvalues,” SIAM Review, vol. 57, no. 4, pp. 585–607, Dec. 2015.
    SIGEST feature article.
    @article{2015-sirev,
      author = {Bindel, David and Hood, Amanda},
      title = {Localization Theorems for Nonlinear Eigenvalues},
      journal = {SIAM Review},
      publisher = {SIAM},
      volume = {57},
      number = {4},
      pages = {585--607},
      month = dec,
      year = {2015},
      notable = {SIGEST feature article.},
      doi = {10.1137/15M1026511}
    }
    

    Abstract:

    Let $T : \Omega \rightarrow {\Bbb C}^{n\times n}$ be a matrix-valued function that is analytic on some simply-connected domain $\Omega \subset {\Bbb C}$. A point $\lambda \in \Omega$ is an eigenvalue if the matrix $T(\lambda)$ is singular. In this paper, we describe new localization results for nonlinear eigenvalue problems that generalize Gershgorin’s theorem, pseudospectral inclusion theorems, and the Bauer-Fike theorem. We use our results to analyze three nonlinear eigenvalue problems: an example from delay differential equations, a problem due to Hadeler, and a quantum resonance computation.

  4. D. Bindel, J. Kleinberg, and S. Oren, “How Bad is Forming Your Own Opinion?,” Games and Economic Behavior, vol. 92, no. C, pp. 248–265, 2015.
    @article{2015-geb,
      author = {Bindel, David and Kleinberg, Jon and Oren, Sigal},
      title = {How Bad is Forming Your Own Opinion?},
      journal = {Games and Economic Behavior},
      volume = {92},
      number = {C},
      year = {2015},
      pages = {248--265},
      doi = {10.1016/j.geb.2014.06.004},
      arxiv = {1203.2973}
    }
    

    Abstract:

    The question of how people form their opinion has fascinated economists and sociologists for long time. In many of the models, a group of people in a social network, each holding a numerical opinion, arrive at a shared opinion through repeated averaging with their neighbors in the network. Motivated by the observation that in reality consensus is rarely reached, we study a related sociological model in which individuals’ intrinsic beliefs counterbalance the averaging process and yield a diversity of opinions.

    We interpret the repeated averaging process as best-response dynamics in an underlying game with natural payoffs and its limit as an equilibrium. This allows us to study the cost of disagreement by comparing between the cost at equilibrium and the social optimum. We also consider a natural network design problem in this setting: which links can we add to the underlying network to reduce the cost at equilibrium?

  5. D. Bindel, M. Friedman, W. Govaerts, J. Hughes, and Y. A. Kuznetsov, “Numerical Computation of Bifurcations in Large Equilibrium Systems in MATLAB,” Journal of Computational and Applied Mathematics, vol. 261, pp. 232–248, 2014.
    @article{2014-matcont,
      author = {Bindel, David and Friedman, Mark and Govaerts, Willy and Hughes, Jeremy and Kuznetsov, Yuri A.},
      title = {Numerical Computation of Bifurcations in
                 Large Equilibrium Systems in {MATLAB}},
      journal = {Journal of Computational and Applied Mathematics},
      volume = {261},
      pages = {232--248},
      year = {2014},
      doi = {10.1016/j.cam.2013.10.034}
    }
    

    Abstract:

    The Continuation of Invariant Subspaces (CIS) algorithm produces a smoothly-varying basis for an invariant subspace R(s) of a parameter-dependent matrix $A(s)$. We have incorporated the CIS algorithm into Cl_matcont, a Matlab package for the study of dynamical systems and their bifurcations. Using subspace reduction, we extend the functionality of Cl_matcont to large-scale computations of bifurcations of equilibria. In this paper, we describe the algorithms and functionality of the resulting Matlab bifurcation package Cl_matcontL. The novel features include: new CIS-based, continuous, well-scaled test functions for codimension 1 and 2 bifurcations; detailed description of locators for large problems; and examples of bifurcation analysis in large sparse problems.

  6. D. Bindel and A. Hood, “Localization Theorems for Nonlinear Eigenvalues,” SIAM Journal on Matrix Analysis, vol. 34, no. 4, pp. 1728–1749, 2013.
    2015 SIAG/LA award (best journal paper in applied LA in three years).
    @article{2013-simax,
      author = {Bindel, David and Hood, Amanda},
      title = {Localization Theorems for Nonlinear Eigenvalues},
      journal = {SIAM Journal on Matrix Analysis},
      volume = {34},
      number = {4},
      pages = {1728--1749},
      year = {2013},
      doi = {10.1137/130913651},
      arxiv = {http://arxiv.org/abs/1303.4668},
      notable = {2015 SIAG/LA award (best journal paper in applied LA in three years).}
    }
    

    Abstract:

    Let $T : \Omega \rightarrow {\Bbb C}^{n \times n}$ be a matrix-valued function that is analytic on some simply-connected domain $\Omega \subset {\Bbb C}$. A point $\lambda \in \Omega$ is an eigenvalue if the matrix $T(\lambda)$ is singular. In this paper, we describe new localization results for nonlinear eigenvalue problems that generalize Gershgorin’s theorem, pseudospectral inclusion theorems, and the Bauer-Fike theorem. We use our results to analyze three nonlinear eigenvalue problems: an example from delay differential equations, a problem due to Hadeler, and a quantum resonance computation.

  7. W. Xie, G. Wang, D. Bindel, A. Demers, and J. Gehrke, “Fast Iterative Graph Computation with Block Updates,” Proceedings of the VLDB Endowment, vol. 6, no. 14, pp. 2014–2025, 2013.
    @article{2013-blockgrace,
      author = {Xie, Wenlei and Wang, Guozhang and Bindel, David and Demers, Alan and Gehrke, Johannes},
      journal = {Proceedings of the VLDB Endowment},
      number = {14},
      pages = {2014--2025},
      publisher = {VLDB Endowment},
      title = {Fast Iterative Graph Computation with Block Updates},
      volume = {6},
      year = {2013},
      doi = {10.14778/2556549.2556581},
      code = {https://github.com/wenleix/BlockGRACE}
    }
    

    Abstract:

    Scaling iterative graph processing applications to large graphs is an important problem. Performance is critical, as data scientists need to execute graph programs many times with varying parameters. The need for a high-level, high-performance programming model has inspired much research on graph programming frameworks. In this paper, we show that the important class of computationally light graph applications – applications that perform little computation per vertex – has severe scalability problems across multiple cores as these applications hit an early “memory wall” that limits their speedup. We propose a novel block-oriented computation model, in which computation is iterated locally over blocks of highly connected nodes, significantly improving the amount of computation per cache miss. Following this model, we describe the design and implementation of a block-aware graph processing runtime that keeps the familiar vertex-centric programming paradigm while reaping the benefits of block-oriented execution. Our experiments show that block-oriented execution significantly improves the performance of our framework for several graph applications.

  8. W. He, D. Bindel, and S. Govindjee, “Topology Optimization in Micromechanical Resonator Design,” Optimization and Engineering, vol. 13, no. 2, 2012.
    @article{2012-mems-opt,
      author = {He, Wei and Bindel, David and Govindjee, Sanjay},
      title = {Topology Optimization in Micromechanical Resonator Design},
      journal = {Optimization and Engineering},
      volume = {13},
      number = {2},
      year = {2012},
      doi = {10.1007/s11081-011-9139-1}
    }
    

    Abstract:

    A topology optimization problem in micromechanical resonator design is addressed in this paper. The design goal is to control the first several eigenfrequencies of a micromechanical resonator using topology optimization. The design variable is the distribution of mass in a constrained domain which we model via (1) the Simple Isotropic Material with Penalization Model and (2) the Peak Function Model. The overall optimization problem is solved using the Method of Moving Asymptotes and a Genetic Algorithm combined with a local gradient method. A numerical example is presented to highlight the features of the methods in more detail. The advantages and disadvantages of each method are discussed.

  9. Y. Zhao, Y. Chen, and D. Bindel, “Towards Unbiased End-to-End Network Diagnosis,” IEEE/ACM Transactions on Networking, vol. 17, no. 6, pp. 1724–1737, Dec. 2009.
    @article{2009-tons,
      author = {Zhao, Yao and Chen, Yan and Bindel, David},
      title = {Towards Unbiased End-to-End Network Diagnosis},
      journal = {IEEE/ACM Transactions on Networking},
      volume = {17},
      number = {6},
      pages = {1724--1737},
      month = dec,
      year = {2009},
      doi = {10.1109/TNET.2009.2022158}
    }
    

    Abstract:

    Internet fault diagnosis is extremely important for end-users, overlay network service providers (like Akamai ), and even Internet service providers (ISPs). However, because link-level properties cannot be uniquely determined from end-to-end measurements, the accuracy of existing statistical diagnosis approaches is subject to uncertainty from statistical assumptions about the network. In this paper, we propose a novel least-biased end-to-end network diagnosis (in short, LEND) system for inferring link-level properties like loss rate. We define a minimal identifiable link sequence (MILS) as a link sequence of minimal length whose properties can be uniquely identified from end-to-end measurements. We also design efficient algorithms to find all the MILSs and infer their loss rates for diagnosis. Our LEND system works for any network topology and for both directed and undirected properties and incrementally adapts to network topology and property changes. It gives highly accurate estimates of the loss rates of MILSs, as indicated by both extensive simulations and Internet experiments. Furthermore, we demonstrate that such diagnosis can be achieved with fine granularity and in near real-time even for reasonably large overlay networks. Finally, LEND can supplement existing statistical inference approaches and provide smooth tradeoff between diagnosis accuracy and granularity.

  10. D. Bindel, J. Demmel, and M. Friedman, “Continuation of Invariant Subspaces in Large Bifurcation Problems,” SIAM Journal on Scientific Computing, vol. 30, no. 2, pp. 637–656, Feb. 2008.
    @article{2008-cis,
      author = {Bindel, David and Demmel, James and Friedman, Mark},
      title = {Continuation of Invariant Subspaces in
                 Large Bifurcation Problems},
      journal = {SIAM Journal on Scientific Computing},
      volume = {30},
      number = {2},
      pages = {637--656},
      month = feb,
      year = {2008},
      doi = {10.1137/060654219}
    }
    

    Abstract:

    We summarize an algorithm for computing a smooth orthonormal basis for an invariant subspace of a parameter-dependent matrix, and describe how to extend it for numerical bifurcation analysis. We adapt the continued subspace to track behavior relevant to bifurcations, and use projection methods to deal with large problems. To test our ideas, we have integrated our code into MATCONT, a program for numerical continuation and bifurcation analysis.

  11. Y. Chen, D. Bindel, H. Song, B. Chavez, and R. Katz, “Algebra-Based Scalable Overlay Network Monitoring: Algorithms, Evaluation, and Applications,” ACM Transactions on Networking, vol. 15, no. 5, pp. 1084–1097, Oct. 2007.
    @article{2007-tons,
      author = {Chen, Yan and Bindel, David and Song, Hanhee and Chavez, Brian and Katz, Randy},
      title = {Algebra-Based Scalable Overlay Network Monitoring:
                 Algorithms, Evaluation, and Applications},
      journal = {ACM Transactions on Networking},
      volume = {15},
      number = {5},
      pages = {1084--1097},
      month = oct,
      year = {2007},
      doi = {10.1109/TNET.2007.896251}
    }
    

    Abstract:

    Overlay network monitoring enables distributed Internet applications to detect and recover from path outages and periods of degraded performance within seconds. For an overlay network with end hosts, existing systems either require measurements, and thus lack scalability, or can only estimate the latency but not congestion or failures. Our earlier extended abstract [Y. Chen, D. Bindel, and R. H. Katz, “Tomography-based overlay network monitoring,” Proceedings of the ACM SIGCOMM Internet Measurement Conference (IMC), 2003] briefly proposes an algebraic approach that selectively monitors linearly independent paths that can fully describe all the paths. The loss rates and latency of these paths can be used to estimate the loss rates and latency of all other paths. Our scheme only assumes knowledge of the underlying IP topology, with links dynamically varying between lossy and normal. In this paper, we improve, implement, and extensively evaluate such a monitoring system. We further make the following contributions: i) scalability analysis indicating that for reasonably large n (e.g., 100), the growth of $k$ is bounded as $O(n \log n)$, ii) efficient adaptation algorithms for topology changes, such as the addition or removal of end hosts and routing changes, iii) measurement load balancing schemes, iv) topology measurement error handling, and v) design and implementation of an adaptive streaming media system as a representative application. Both simulation and Internet experiments demonstrate we obtain highly accurate path loss rate estimation while adapting to topology changes within seconds and handling topology errors.

  12. D. Bindel and M. Zworski, “Symmetry of Bound and Antibound States in the Semiclassical Limit,” Letters in Math Physics, vol. 81, no. 2, pp. 107–117, Aug. 2007.
    @article{2007-symmetry,
      author = {Bindel, David and Zworski, Maciej},
      title = {Symmetry of Bound and Antibound States in the Semiclassical Limit},
      journal = {Letters in Math Physics},
      volume = {81},
      number = {2},
      pages = {107--117},
      month = aug,
      year = {2007},
      doi = {10.1007/s11005-007-0178-7}
    }
    

    Abstract:

    Motivated by a recent numerical observation we show that in one dimensional scattering a barrier separating the interaction region from infinity implies approximate symmetry of bound and antibound states. We also outline the numerical procedure used for an efficient computation of one dimensional resonances.

  13. D. Bindel and S. Govindjee, “Elastic PMLs for Resonator Anchor Loss Simulation,” International Journal for Numerical Methods in Engineering, vol. 64, no. 6, pp. 789–818, Oct. 2005.
    @article{2005-ijnme,
      author = {Bindel, David and Govindjee, Sanjay},
      title = {Elastic {PMLs} for Resonator Anchor Loss Simulation},
      journal = {International Journal for Numerical Methods in Engineering},
      volume = {64},
      number = {6},
      pages = {789--818},
      month = oct,
      year = {2005},
      doi = {10.1002/nme.1394}
    }
    

    Abstract:

    Electromechanical resonators and filters, such as quartz, ceramic, and surface-acoustic wave devices, are important signal-processing elements in communication systems. Over the past decade, there has been substantial progress in developing new types of miniaturized electromechanical resonators using microfabrication processes. For these micro-resonators to be viable they must have high and predictable quality factors ($Q$). Depending on scale and geometry, the energy losses that lower $Q$ may come from material damping, thermoelastic damping, air damping, or radiation of elastic waves from an anchor. Of these factors, anchor losses are the least understood because such losses are due to a complex radiation phenomena in a semi-infinite elastic half-space. Here, we describe how anchor losses can be accurately computed using an absorbing boundary based on a perfectly matched layer (PML) which absorbs incoming waves over a wide frequency range for any non-zero angle of incidence. We exploit the interpretation of the PML as a complex-valued change of coordinates to illustrate how one can come to a simpler finite element implementation than was given in its original presentations. We also examine the convergence and accuracy of the method, and give guidelines for how to choose the parameters effectively. As an example application, we compute the anchor loss in a micro disk resonator and compare it to experimental data. Our analysis illustrates a surprising mode-mixing phenomenon which can substantially affect the quality of resonance.

  14. D. Bindel, J. Demmel, W. Kahan, and O. Marques, “On Computing Givens Rotations Reliable and Efficiently,” ACM Transactions on Mathematical Software, vol. 28, no. 2, pp. 206–238, Jun. 2002.
    @article{2002-toms,
      author = {Bindel, David and Demmel, James and Kahan, William and Marques, Osni},
      title = {On Computing {Givens} Rotations Reliable and Efficiently},
      journal = {ACM Transactions on Mathematical Software},
      volume = {28},
      number = {2},
      pages = {206--238},
      month = jun,
      year = {2002},
      doi = {10.1145/567806.567809}
    }
    

    Abstract:

    We consider the efficient and accurate computation of Givens rotations. When $f$ and $g$ are positive real numbers, this simply amounts to computing the values of $c = f/\sqrt{f^2 + g^2}$, $s = g/\sqrt{f^2 + g^2}$, and $r = \sqrt{f^2 + g^2}$. This apparently trivial computation merits closer consideration for the following three reasons. First, while the definitions of $c$, $s$ and $r$ seem obvious in the case of two nonnegative arguments $f$ and $g$, there is enough freedom of choice when one or more of $f$ and $g$ are negative, zero or complex that LAPACK auxiliary routines SLARTG, CLARTG, SLARGV and CLARGV can compute rather different values of $c$, $s$ and $r$ for mathematically identical values of $f$ and $g$. To eliminate this unnecessary ambiguity, the BLAS Technical Forum chose a single consistent definition of Givens rotations that we will justify here. Second, computing accurate values of $c$, $s$ and $r$ as efficiently as possible and reliably despite over/underflow is surprisingly complicated. For complex Givens rotations, the most efficient formulas require only one real square root and one real divide (as well as several much cheaper additions and multiplications), but a reliable implementation using only working precision has a number of cases. On a Sun Ultra-10, the new implementation is slightly faster than the previous LAPACK implementation in the most common case, and 2.7 to 4.6 times faster than the corresponding vendor, reference or ATLAS routines. It is also more reliable; all previous codes occasionally suffer from large inaccuracies due to over/underflow. For real Givens rotations, there are also improvements in speed and accuracy, though not as striking. Third, the design process that led to this reliable implementation is quite systematic, and could be applied to the design of similarly reliable subroutines.

Conference papers

  1. K. Wilson, D. Bindel, and N. Snavely, “When is Rotations Averaging Hard?,” in Proceedings of ECCV 2016, 2016.
    @inproceedings{2016-rotations,
      author = {Wilson, Kyle and Bindel, David and Snavely, Noah},
      booktitle = {Proceedings of ECCV 2016},
      title = {When is Rotations Averaging Hard?},
      month = oct,
      year = {2016}
    }
    

    Abstract:

    Rotations averaging has become a key subproblem in global Structure from Motion methods. Several solvers exist, but they do not have guarantees of correctness. They can produce high-quality results, but also sometimes fail. Our understanding of what makes rotations averaging problems easy or hard is still very limited. To investigate the difficulty of rotations averaging, we perform a local convexity analysis under an $L_2$ cost function. Although a previous result has shown that in general, this problem is locally convex almost nowhere, we show how this negative conclusion can be reversed by considering the gauge ambiguity.

    Our theoretical analysis reveals the factors that determine local convexity—noise and graph structure—as well as how they interact, which we describe by a particular Laplacian matrix. Our results are useful for predicting the difficulty of problems, and we demonstrate this on practical datasets. Our work forms the basis of a deeper understanding of the key properties of rotations averaging problems, and we discuss how it can inform the design of future solvers for this important problem.

  2. K. He, P. Shi, J. Hopcroft, and D. Bindel, “Local Spectral Diffusion for Robust Community Detection,” in KDD Workshop on Mining and Learning with Graphs, 2016.
    @inproceedings{2016-losp-kdd,
      author = {He, Kun and Shi, Pan and Hopcroft, John and Bindel, David},
      booktitle = {KDD Workshop on Mining and Learning with Graphs},
      title = {Local Spectral Diffusion for Robust Community Detection},
      month = aug,
      year = {2016}
    }
    

    Abstract:

    We address a semi-supervised learning problem of identifying all latent members of a local community from very few labeled seed members in large networks. By a simple and efficient sampling method, we conduct a comparatively small subgraph encompassing most of the latent members such that the follow-up membership identification could focus on an accurate local region instead of the whole network. Then we look for a sparse vector, a relaxed indicator vector representing the subordinative probability of the corresponding nodes, that lies in a local spectral subspace defined by an order-$d$ Krylov subspace. The subspace serves as a local proxy for the invariant subspace spanned by leading eigenvectors of the Laplacian matrices. Based on Rayleigh quotients, we relate the local membership identification task as a local RatioCut or local normalized cut optimization problem, and provide some theoretical justifications.

    We thoroughly explore different probability diffusion methods for the subspace definition and evaluate our method on four groups with a total of 28 representative LFR benchmark datasets, and eight public available real-world networks with labeled ground truth communities across multiple domains. Experimental results exhibit the effectiveness and robustness of the proposed algorithm, and the local spectral communities perform better than those from the celebrated Heat Kernel diffusion and the PageRank diffusion.

  3. E. Yilmaz and D. Bindel, “Temperature Sensitivity of Solid-Wave Gyroscopes (Late News),” in Proceedings of the Hilton Head Solid-Sate Sensor and Actuator Workshop 2016, 2016.
    @inproceedings{2016-hh-workshop,
      author = {Yilmaz, Erdal and Bindel, David},
      booktitle = {Proceedings of the Hilton Head Solid-Sate Sensor and
                     Actuator Workshop 2016},
      title = {Temperature Sensitivity of Solid-Wave Gyroscopes (Late News)},
      month = jun,
      year = {2016}
    }
    

    Abstract:

    We analyze the change of angular gain and vibration frequency of solid-wave gyroscopes as a result of geometry perturbations due to thermal expansion. We formulate a temperature sensitivity analysis by assuming a linear dependence of material properties to temperature, and quantify it for common device geometries.

  4. A. E. Gencer, E. G. Sirer, R. Van Renesse, and D. Bindel, “Configuring Distributed Computations Using Response Surfaces,” in Proceedings of Middleware 2015, 2015.
    Best student paper.
    @inproceedings{2015-middleware,
      author = {Gencer, Adam Efe and Sirer, Emin Gun and Van Renesse, Robbert and Bindel, David},
      title = {Configuring Distributed Computations Using Response Surfaces},
      booktitle = {Proceedings of Middleware 2015},
      month = dec,
      year = {2015},
      notable = {Best student paper.},
      doi = {10.1145/2814576.2814730}
    }
    

    Abstract:

    Configuring large distributed computations is a challenging task. Efficiently executing distributed computations requires configuration tuning based on careful examination of application and hardware properties. Considering the large number of parameters and impracticality of using trial and error in a production environment, programmers tend to make these decisions based on their experience and rules of thumb. Such configurations can lead to underutilized and costly clusters, and missed deadlines.

    In this paper, we present a new methodology for determining desired hardware and software configuration parameters for distributed computations. The key insight behind this methodology is to build a response surface that captures how applications perform under different hardware and software configuration. Such a model can be built through iterated experiments using the real system, or, more efficiently, using a simulator. The resulting model can then generate recommendations for configuration parameters that are likely to yield the desired results even if they have not been tried either in simulation or in real-life. The process can be iterated to refine previous predictions and achieve better results.

    We have implemented this methodology in a configuration recommendation system for MapReduce 2.0 applications. Performance measurements show that representative applications achieve up to $5 \times$ performance improvement when they use the recommended configuration parameters compared to the default ones.

  5. M. Lee, D. Bindel, and D. Mimno, “Robust Spectral Inference for Joint Stochastic Matrix Factorization,” in Proceedings of NIPS 2015, 2015, pp. 2710–2718.
    @inproceedings{2015-nips,
      author = {Lee, Moontae and Bindel, David and Mimno, David},
      title = {Robust Spectral Inference for
                 Joint Stochastic Matrix Factorization},
      booktitle = {Proceedings of NIPS 2015},
      pages = {2710--2718},
      month = dec,
      year = {2015}
    }
    

    Abstract:

    Spectral inference provides fast algorithms and provable optimality for latent topic analysis. But for real data these algorithms require additional ad-hoc heuristics, and even then often produce unusable results. We explain this poor performance by casting the problem of topic inference in the framework of Joint Stochastic Matrix Factorization (JSMF) and showing that previous methods violate the theoretical conditions necessary for a good solution to exist. We then propose a novel rectification method that learns high quality topics and their interactions even on small, noisy data. This method achieves results comparable to probabilistic techniques in several domains while maintaining scalability and provable optimality.

  6. K. He, Y. Sun, D. Bindel, J. Hopcroft, and Y. Li, “Detecting Overlapping Communities from Local Spectral Subspaces,” in Proceedings of ICDM 2015, 2015.
    @inproceedings{2015-icdm,
      author = {He, Kun and Sun, Yiwei and Bindel, David and Hopcroft, John and Li, Yixuan},
      title = {Detecting Overlapping Communities from
                 Local Spectral Subspaces},
      booktitle = {Proceedings of ICDM 2015},
      month = nov,
      year = {2015},
      doi = {10.1109/ICDM.2015.89},
      arxiv = {1509.08065}
    }
    

    Abstract:

    Based on the definition of local spectral subspace, we propose a novel approach called LOSP for local overlapping community detection. Using the power method for a few steps, LOSP finds an approximate invariant subspace, which depicts the embedding of the local neighborhood structure around the seeds of interest. LOSP then identifies the local community expanded from the given seeds by seeking a sparse indicator vector in the subspace where the seeds are in its support. We provide a systematic investigation on LOSP, and thoroughly evaluate it on large real world networks across multiple domains. With the prior information of very few seed members, LOSP can detect the remaining members of a target community with high accuracy. Experiments demonstrate that LOSP outperforms the Heat Kernel and PageRank diffusions. Using LOSP as a subroutine, we further address the problem of multiple membership identification, which aims to find all the communities a single vertex belongs to. High F1 scores are achieved in detecting multiple local communities with respect to arbitrary single seed for various large real world networks.

  7. W. Xie, D. Bindel, A. Demers, and J. Gehrke, “Edge-Weighted Personalized PageRank: Breaking A Decade-Old Performance Barrier,” in Proceedings of ACM KDD 2015, 2015.
    Best student paper award.
    @inproceedings{2015-edgeppr,
      author = {Xie, Wenlei and Bindel, David and Demers, Alan and Gehrke, Johannes},
      booktitle = {Proceedings of ACM KDD 2015},
      title = {Edge-Weighted Personalized {PageRank}:
                 Breaking A Decade-Old Performance Barrier},
      month = aug,
      year = {2015},
      doi = {10.1145/2783258.2783278},
      notable = {Best student paper award.},
      code = {https://github.com/wenleix/EdgePPR},
      slides = {present/2015-08-kdd-talk_kdd-aug15.pdf},
      talk = {https://www.youtube.com/watch?v=Cop9Arcw6wY}
    }
    

    Abstract:

    Personalized PageRank is a standard tool for finding vertices in a graph that are most relevant to a query or user. To personalize PageRank, one adjusts node weights or edge weights that determine teleport probabilities and transition probabilities in a random surfer model. There are many fast methods to approximate PageRank when the node weights are personalized; however, personalization based on edge weights has been an open problem since the dawn of personalized PageRank over a decade ago. In this paper, we describe the first fast algorithm for computing PageRank on general graphs when the edge weights are personalized. Our method, which is based on model reduction, outperforms existing methods by nearly five orders of magnitude. This huge performance gain over previous work allows us — for the very first time — to solve learning-to-rank problems for edge weight personalization at interactive speeds, a goal that had not previously been achievable for this class of problems.

  8. Y. Li, K. He, D. Bindel, and J. Hopcroft, “Uncovering the Small Community Structure in Large Networks: A Local Spectral Approach,” in Proceedings of WWW 2015, 2015.
    @inproceedings{2015-www,
      author = {Li, Yixuan and He, Kun and Bindel, David and Hopcroft, John},
      title = {Uncovering the Small Community Structure in Large Networks:
                 A Local Spectral Approach},
      booktitle = {Proceedings of WWW 2015},
      month = may,
      year = {2015},
      doi = {10.1145/2736277.2741676},
      arxiv = {1509.07715}
    }
    

    Abstract:

    Large graphs arise in a number of contexts and understanding their structure and extracting information from them is an important research area. Early algorithms on mining communities have focused on the global structure, and often run in time functional to the size of the entire graph. Nowadays, as we often explore networks with billions of vertices and find communities of size hundreds, it is crucial to shift our attention from macroscopic structure to microscopic structure when dealing with large networks. A growing body of work has been adopting local expansion methods in order to identify the community from a few exemplary seed members. Very few approaches can systematically demonstrate both high efficiency and effectiveness that significantly stands out amongst the divergent approaches in finding communities.

    In this paper, we propose a novel approach for finding overlapping communities called LEMON (Local Expansion via Minimum One Norm). Different from PageRank-like diffusion methods, LEMON finds the community by seeking a sparse vector in the span of the local spectra such that the seeds are in its support. We show that LEMON can achieve the highest detection accuracy among state-of-the-art proposals. The running time depends on the size of the community rather than that of the entire graph. The algorithm is easy to implement, and is highly parallelizable.

    Moreover, given that networks are not all similar in nature, a comprehensive analysis on how the local expansion approach is suited for uncovering communities in different networks is still lacking. We thoroughly evaluate our approach using both synthetic and real-world datasets across different domains, and analyze the empirical variations when applying our method to inherently different networks in practice. In addition, the heuristics on how the quality and quantity of the seed set would affect the performance are provided.

  9. K. Dong and D. Bindel, “Modified Kernel Polynomial Method for Estimating Graph Spectra,” in SIAM Network Science 2015 (poster), 2015.
    @inproceedings{2015-siam-ns,
      author = {Dong, Kun and Bindel, David},
      title = {Modified Kernel Polynomial Method for Estimating Graph Spectra},
      booktitle = {SIAM Network Science 2015 (poster)},
      month = may,
      year = {2015}
    }
    

    Abstract:

    The kernel polynomial method (KPM) is a standard tool in condensed matter physics to estimate the density of states for a quantum system. We use the KPM to instead estimate the eigenvalue densities of the normalized adjacency matrices of “natural” graphs. Because natural graph spectra often include high-multiplicity eigenvalues corresponding to certain motifs in the graph, we introduce a pre-processing phase that counts just these special eigenvalues, leaving the rest of the eigenvalue distribution to be estimated by the standard KPM.

  10. E. Yilmaz and D. Bindel, “Effects of imperfections on solid-wave gyroscope dynamics,” in Proceedings of IEEE SENSORS 2013, 2013.
    @inproceedings{2013-sensors,
      author = {Yilmaz, Erdal and Bindel, David},
      title = {Effects of imperfections on solid-wave gyroscope dynamics},
      booktitle = {Proceedings of IEEE SENSORS 2013},
      month = nov,
      year = {2013},
      doi = {10.1109/ICSENS.2013.6688462}
    }
    

    Abstract:

    Solid-wave gyroscopes are symmetric resonators that sense rotation by measuring how Coriolis forces perturb a degenerate mode pair. The idealized dynamics of these devices are described by ODE models of two identical oscillators coupled by a perturbation due to rotation. In miniaturized solid-wave gyroscopes, geometric distortions due to imperfect fabrication also perturb the dynamics, and this limits sensing accuracy. In this work, we describe how geometric imperfections affect the dynamics of solid-wave gyroscopes. We also use selection rules both to find qualitative information about what types of geometry perturbations most affect sensor performance and to accelerate computations

  11. T. Zou, G. Wang, M. Vaz Salles, D. Bindel, A. Demers, J. Gehrke, and W. White, “Making Time-Stepped Applications Tick in the Cloud,” in Proceedings of the Second ACM Symposium on Cloud Computing (SOCC), 2011.
    @inproceedings{2011-socc,
      author = {Zou, Tao and Wang, Guozhang and Vaz Salles, Marcos and Bindel, David and Demers, Alan and Gehrke, Johannes and White, Walker},
      title = {Making Time-Stepped Applications Tick in the Cloud},
      booktitle = {Proceedings of the Second
                     ACM Symposium on Cloud Computing (SOCC)},
      month = oct,
      year = {2011},
      doi = {10.1145/2038916.2038936}
    }
    

    Abstract:

    Scientists are currently evaluating the cloud as a new platform. Many important scientific applications, however, perform poorly in the cloud. These applications proceed in highly parallel discrete time-steps or “ticks,” using logical synchronization barriers at tick boundaries. We observe that network jitter in the cloud can severely increase the time required for communication in these applications, significantly increasing overall running time.

    In this paper, we propose a general parallel framework to process time-stepped applications in the cloud. Our framework exposes a high-level, data-centric programming model which represents application state as tables and dependencies between states as queries over these tables. We design a jitter-tolerant runtime that uses these data dependencies to absorb latency spikes by (1) carefully scheduling computation and (2) replicating data and computation. Our data-driven approach is transparent to the scientist and requires little additional code. Our experiments show that our methods improve performance up to a factor of three for several typical time-stepped applications.

  12. D. Bindel, S. Oren, and J. Kleinberg, “How Bad is Forming Your Own Opinion?,” in Proceedings of the 52nd IEEE Symposium on Foundations of Computer Science (FOCS), 2011.
    @inproceedings{2011-focs,
      author = {Bindel, David and Oren, Sigal and Kleinberg, Jon},
      title = {How Bad is Forming Your Own Opinion?},
      booktitle = {Proceedings of the 52nd IEEE Symposium on
                     Foundations of Computer Science (FOCS)},
      month = oct,
      year = {2011},
      doi = {10.1109/FOCS.2011.43},
      arxiv = {1203.2973}
    }
    

    Abstract:

    A long-standing line of work in economic theory has studied models by which a group of people in a social network, each holding a numerical opinion, can arrive at a shared opinion through repeated averaging with their neighbors in the network. Motivated by the observation that consensus is rarely reached in real opinion dynamics, we study a related sociological model in which individuals’ intrinsic beliefs counterbalance the averaging process and yield a diversity of opinions. By interpreting the repeated averaging as best-response dynamics in an underlying game with natural payoffs, and the limit of the process as an equilibrium, we are able to study the cost of disagreement in these models relative to a social optimum. We provide a tight bound on the cost at equilibrium relative to the optimum, our analysis draws a connection between these agreement models and extremal problems for generalized eigenvalues. We also consider a natural network design problem in this setting, where adding links to the underlying network can reduce the cost of disagreement at equilibrium.

  13. C. Bruyns-Maxwell and D. Bindel, “Modal Parameter Tracking for Shape Changing Objects,” in Proceedings of DAFx 2007, 2007.
    @inproceedings{2007-sound,
      author = {Bruyns-Maxwell, Cynthia and Bindel, David},
      title = {Modal Parameter Tracking for Shape Changing Objects},
      booktitle = {Proceedings of DAFx 2007},
      month = sep,
      year = {2007}
    }
    

    Abstract:

    For interactive sound synthesis, we would like to change the shape of a finite element model of an instrument and rapidly hear how the sound changes. Using modal synthesis methods, we would need to compute a new modal decomposition with each change in the geometry, making the analysis too slow for interactive use. However, by using modes computed for one geometry to estimate the frequencies for nearby geometries, we can hear much more quickly how changing the instrument shape changes the sound. In this paper, we describe how to estimate resonant frequencies of an instrument by combining information about the modes of two similar instruments. We also describe the balance between computational speed and accuracy of the computed resonances.

  14. J. Demmel, J. Dongarra, B. Parlett, W. Kahan, M. Gu, D. Bindel, Y. Hida, X. Li, O. Marques, J. Riedy, C. Voemel, J. Langou, P. Lusczek, J. Kurzak, A. Butarri, J. Langou, and S. Tomov, “Prospectus for the Next LAPACK and ScaLAPACK Libraries,” in Proceedings of PARA 2006, 2006, pp. 11–23.
    @inproceedings{2006-para,
      author = {Demmel, James and Dongarra, Jack and Parlett, Beresford and Kahan, William and Gu, Ming and Bindel, David and Hida, Yozo and Li, Xiaoye and Marques, Osni and Riedy, Jason and Voemel, Christof and Langou, Julien and Lusczek, Piotr and Kurzak, Jakub and Butarri, Alfredo and Langou, Julie and Tomov, Stanimire},
      title = {Prospectus for the Next {LAPACK} and {ScaLAPACK} Libraries},
      booktitle = {Proceedings of PARA 2006},
      pages = {11--23},
      year = {2006}
    }
    

    Abstract:

    New releases of the widely used LAPACK and ScaLAPACK numerical linear algebra libraries are planned. Based on an on-going user survey (<www.netlib.org/lapack-dev>) and research by many people, we are proposing the following improvements: Faster algorithms, including better numerical methods, memory hierarchy optimizations, parallelism, and automatic performance tuning to accommodate new architectures; More accurate algorithms, including better numerical methods, and use of extra precision; Expanded functionality, including updating and downdating, new eigenproblems, etc. and putting more of LAPACK into ScaLAPACK; Improved ease of use, e.g., via friendlier interfaces in multiple languages. To accomplish these goals we are also relying on better software engineering techniques and contributions from collaborators at many institutions.

  15. C. Bruyns and D. Bindel, “Shape Changing Symmetric Objects for Sound Synthesis,” in Proceedings of 121st AES, 2006.
    @inproceedings{2006-sound,
      author = {Bruyns, Cynthia and Bindel, David},
      title = {Shape Changing Symmetric Objects for Sound Synthesis},
      booktitle = {Proceedings of 121st AES},
      month = oct,
      year = {2006}
    }
    

    Abstract:

    In the last decade, many researchers have used modal synthesis for sound generation. Using a modal decomposition, one can convert a large system of coupled differential equations into simple, independent differential equations in one variable. To synthesize sound from the system, one solves these decoupled equations numerically, which is much more efficient than solving the original coupled system. For large systems, such as those obtained from finite-element analysis of a musical instrument, the initial modal decomposition is time-consuming. To design instruments from physical simulation, one would like to be able to compute modes in real-time, so that the geometry, and therefore spectrum, of an instrument can be changed interactively. In this paper, we describe how to quickly compute modes of instruments which have rotational symmetry in order to synthesize sounds of new instruments quickly enough for interactive instrument design.

  16. Y. Zhao, Y. Chen, and D. Bindel, “Toward Unbiased End-to-End Network Diagnosis,” in Proceedings of SIGCOMM 2006, 2006, pp. 219–230.
    @inproceedings{2006-sigcomm,
      author = {Zhao, Yao and Chen, Yan and Bindel, David},
      title = {Toward Unbiased End-to-End Network Diagnosis},
      booktitle = {Proceedings of SIGCOMM 2006},
      pages = {219--230},
      year = {2006},
      doi = {10.1145/1151659.1159939}
    }
    

    Abstract:

    Internet fault diagnosis is extremely important for end users, overlay network service providers (like Akamai [1]) and even Internet service providers (ISPs). However, because link-level properties cannot be uniquely determined from end-to-end measurements, the accuracy of existing statistical diagnosis approaches is subject to uncertainty from statistical assumptions about the network. In this paper, we propose a novel Least-biased End-to-end Network Diagnosis (in short, LEND) system for inferring link-level properties like loss rate. We define a minimal identifiable link sequence (MILS) as a link sequence of minimal length whose properties can be uniquely identified from end-to-end measurements. We also design efficient algorithms to find all the MILSes and infer their loss rates for diagnosis. Our LEND system works for any network topology and for both directed and undirected properties, and incrementally adapts to network topology and property changes. It gives highly accurate estimates of the loss rates of MILSes, as indicated by both extensive simulations and Internet experiments. Furthermore, we demonstrate that such diagnosis can be achieved with fine granularity and in near real-time even for reasonably large overlay networks. Finally, LEND can supplement existing statistical inference approaches and provide smooth tradeoff between diagnosis accuracy and granularity.

  17. Y. Zhao, Y. Chen, and D. Bindel, “Toward Deterministic Overlay Diagnosis,” in ACM SIGMETRICS/Performance 2006, 2006, pp. 387–388.
    @inproceedings{2006-sigmetrics,
      author = {Zhao, Yao and Chen, Yan and Bindel, David},
      title = {Toward Deterministic Overlay Diagnosis},
      booktitle = {ACM SIGMETRICS/Performance 2006},
      pages = {387--388},
      year = {2006},
      doi = {10.1145/1140277.1140333}
    }
    
  18. T. Koyama, D. Bindel, W. He, E. Quevy, J. Demmel, S. Govindjee, and R. Howe, “Simulation Tools for Damping in High Frequency Resonators,” in Proceedings of IEEE SENSORS 2005, 2005.
    @inproceedings{2005-sensors,
      author = {Koyama, Tsuyoshi and Bindel, David and He, Wei and Quevy, Emmanuel and Demmel, James and Govindjee, Sanjay and Howe, Roger},
      title = {Simulation Tools for Damping in High Frequency Resonators},
      booktitle = {Proceedings of IEEE SENSORS 2005},
      month = nov,
      year = {2005},
      doi = {10.1109/ICSENS.2005.1597708}
    }
    

    Abstract:

    This paper presents the development of HiQLab, a simulation tool to compute the effect of damping in high frequency resonators. Existing simulation tools allow designers to compute resonant frequencies but few tools provide estimates of damping, which is crucial in evaluating the performance of such devices. In the current code, two damping mechanisms: thermoelastic damping and anchor loss, have been implemented. Thermoelastic damping results from irreversible heat flow due to mechanically-driven temperature gradients, while anchor loss occurs when high-frequency mechanical waves radiate away from the resonator and into the substrate. Our finite-element simulation tool discretizes PDE models of both phenomena, and evaluates the quality factor ($Q$), a measure of damping in the system, with specialized eigencomputations and model reduction techniques. The core functions of the tool are written in C++ for performance. Interfaces are in Lua and MATLAB, which give users access to powerful visualization and pre- and postprocessing capabilities.

  19. Y. Zhao, Y. Chen, and D. Bindel, “Scalable and Deterministic Overlay Network Diagnosis,” in Proceedings of ACM SIGCOMM 2005 (poster), 2005.
    @inproceedings{2005-sigcomm,
      author = {Zhao, Yao and Chen, Yan and Bindel, David},
      title = {Scalable and Deterministic Overlay Network Diagnosis},
      booktitle = {Proceedings of ACM SIGCOMM 2005 (poster)},
      year = {2005}
    }
    
  20. D. Bindel, J. Demmel, W. Govaerts, and Y. Kuznetsov, “Bifurcation Analysis of Large Equilibrium Systems in MATLAB,” in Proceedings of ICCS 2005, 2005, vol. 3514, pp. 50–57.
    @inproceedings{2005-iccs,
      author = {Bindel, David and Demmel, James and Govaerts, Willy and Kuznetsov, Yuri},
      title = {Bifurcation Analysis of Large Equilibrium Systems in {MATLAB}},
      booktitle = {Proceedings of ICCS 2005},
      volume = {3514},
      series = {Springer LNCS},
      pages = {50--57},
      month = apr,
      year = {2005},
      doi = {10.1007/11428831_7}
    }
    

    Abstract:

    The Continuation of Invariant Subspaces (CIS) algorithm produces a smoothly varying basis for an invariant subspace $R(s)$ of a parameter-dependent matrix $A(s)$. In the case when $A(s)$ is the Jacobian matrix for a system that comes from a spatial discretization of a partial differential equation, it will typically be large and sparse. Cl_matcont is a user-friendly MATLAB package for the study of dynamical systems and their bifurcations. We incorporate the CIS algorithm into Cl_matcont to extend its functionality to large scale bifurcation computations via subspace reduction

  21. D. Bindel, E. Quevy, T. Koyama, J. Demmel, and R. Howe, “Anchor Loss Simulation in Resonators,” in Proceedings of MEMS 2005, 2005.
    @inproceedings{2005-mems,
      author = {Bindel, David and Quevy, Emmanuel and Koyama, Tsuyoshi and Demmel, James and Howe, Roger},
      title = {Anchor Loss Simulation in Resonators},
      booktitle = {Proceedings of MEMS 2005},
      month = feb,
      year = {2005},
      doi = {10.1109/MEMSYS.2005.1453885}
    }
    

    Abstract:

    Surface-micromachined resonators and filters are attractive for many RF applications. While existing simulation tools allow designers to compute resonant frequencies, few tools provide estimates of the damping in these devices. This paper reports on a new tool that allows designers, for the first time, to compute anchor losses in high-frequency resonators and account for sub-surface scatterers. By exercising the tool on a family of radially driven disk resonators, we show that the anchor loss mechanism for this class of devices involves a parasitic mixed-mode bending action that pumps energy into the substrate. Further, using the tool, we predict a large variation in resonator quality depending upon film thickness. Our simulation shows that the source of this variation is a complex radial-to-bending motion interaction, which we visualize with a root-locus diagram. We experimentally verify this predicted sensitivity using poly-SiGe disk resonators having $Q$’s ranging from 200 to 54,000.

  22. Y. Chen, D. Bindel, H. Song, and R. Katz, “An Algebraic Approach to Practial and Scalable Overlay Network Monitoring,” in Proceedings of ACM SIGCOMM 2004, 2004.
    @inproceedings{2004-sigcomm,
      author = {Chen, Yan and Bindel, David and Song, Hanhee and Katz, Randy},
      title = {An Algebraic Approach to Practial and Scalable
                 Overlay Network Monitoring},
      booktitle = {Proceedings of ACM SIGCOMM 2004},
      year = {2004},
      doi = {10.1145/1015467.1015475}
    }
    

    Abstract:

    Overlay network monitoring enables distributed Internet applications to detect and recover from path outages and periods of degraded performance within seconds. For an overlay network with $n$ end hosts, existing systems either require $O(n^2)$ measurements, and thus lack scalability, or can only estimate the latency but not congestion or failures. Our earlier extended abstract briefly proposes an algebraic approach that selectively monitors $k$ linearly independent paths that can fully describe all the $O(n^2)$ paths. The loss rates and latency of these $k$ paths can be used to estimate the loss rates and latency of all other paths. Our scheme only assumes knowledge of the underlying IP topology, with links dynamically varying between lossy and normal.In this paper, we improve, implement and extensively evaluate such a monitoring system. We further make the following contributions: i) scalability analysis indicating that for reasonably large n (e.g., 100), the growth of $k$ is bounded as $O(n \log n)$, ii) efficient adaptation algorithms for topology changes, such as the addition or removal of end hosts and routing changes, iii) measurement load balancing schemes, and iv) topology measurement error handling. Both simulation and Internet experiments demonstrate we obtain highly accurate path loss rate estimation while adapting to topology changes within seconds and handling topology errors.

  23. D. Bindel, Z. Bai, and J. Demmel, “Model Reduction for RF MEMS Simulation,” in Proceedings of PARA 2004, 2004.
    @inproceedings{2004-para,
      author = {Bindel, David and Bai, Zhaojun and Demmel, James},
      title = {Model Reduction for {RF MEMS} Simulation},
      booktitle = {Proceedings of PARA 2004},
      month = jun,
      year = {2004},
      doi = {10.1007/11558958_34}
    }
    

    Abstract:

    Radio-frequency (RF) MEMS resonators, integrated into CMOS chips, are of great interest to engineers planning the next generation of communication systems. Fast simulations are necessary in order to gain insights into the behavior of these devices. In this paper, we discuss two structure-preserving model-reduction techniques and apply them to the frequency-domain analysis of two proposed MEMS resonator designs.

  24. Y. Chen, D. Bindel, and R. Katz, “Tomography-Based Overlay Network Monitoring,” in Proceedings of ACM SIGCOMM Internet Measurement Conference (IMC), 2003.
    @inproceedings{2003-imc,
      author = {Chen, Yan and Bindel, David and Katz, Randy},
      title = {Tomography-Based Overlay Network Monitoring},
      booktitle = {Proceedings of ACM SIGCOMM Internet
                     Measurement Conference (IMC)},
      year = {2003},
      doi = {10.1145/948205.948233}
    }
    

    Abstract:

    Overlay network monitoring enables distributed Internet applications to detect and recover from path outages and periods of degraded performance within seconds. For an overlay network with $n$ end hosts, existing systems either require $O(n^2)$ measurements, and thus lack scalability, or can only estimate the latency but not congestion or failures. Unlike other network tomography systems, we characterize end-to-end losses (this extends to any additive metrics, including latency) rather than individual link losses. We find a minimal basis set of $k$ linearly independent paths that can fully describe all the $O(n^2)$ paths. We selectively monitor and measure the loss rates of these paths, then apply them to estimate the loss rates of all other paths. By extensively studying synthetic and real topologies, we find that for reasonably large n (e.g., 100), $k$ is only in the range of $O(n \log n)$. This is explained by the moderately hierarchical nature of Internet routine.Our scheme only assumes the knowledge of underlying IP topology, and any link can become lossy or return to normal. In addition, our technique is tolerant to topology measurement inaccuracies, and is adaptive to topology changes.

  25. J. Clark, D. Bindel, W. Kao, E. Zhu, A. Kuo, N. Zhou, J. Nie, J. Demmel, Z. Bai, S. Govindjee, K. S. J. Pister, M. Gu, and A. Agogino, “Addressing the Needs of Complex MEMS Design,” in Proceedings of MEMS 2002, 2002.
    @inproceedings{2002-mems,
      author = {Clark, Jason and Bindel, David and Kao, Wayne and Zhu, Ernest and Kuo, Andrew and Zhou, Ningning and Nie, Jiawang and Demmel, James and Bai, Zhaojun and Govindjee, Sanjay and Pister, Kristofer S. J. and Gu, Ming and Agogino, Alice},
      title = {Addressing the Needs of Complex {MEMS} Design},
      booktitle = {Proceedings of MEMS 2002},
      month = jan,
      year = {2002},
      doi = {10.1109/MEMSYS.2002.984240}
    }
    

    Abstract:

    In this paper, we report several advances in the Sugar 2.0 MEMS system simulation package, including reduced-order modeling techniques, simple hierarchical description of complex structures, synthesis tools, a variety of models, and a web-based interface. Examples include the modeling of a torsional micromirror with lateral actuators compared to experiment, and the prototyping of a microrobot.

  26. Y. Chen, A. Bargteil, D. Bindel, R. Katz, and J. Kubiatowicz, “Quantifying Network Denial of Service: A Location Service Case Study,” in Proceedings of the International Conference on Information and Communications Security (ICICS), 2001, vol. 2229, pp. 340–351.
    @inproceedings{2001-icics,
      author = {Chen, Yan and Bargteil, Adam and Bindel, David and Katz, Randy and Kubiatowicz, John},
      title = {Quantifying Network Denial of Service:
                 A Location Service Case Study},
      booktitle = {Proceedings of the International Conference on
                     Information and Communications Security (ICICS)},
      volume = {2229},
      series = {LNCS},
      publisher = {Springer},
      pages = {340--351},
      month = nov,
      year = {2001},
      doi = {10.1007/3-540-45600-7_37}
    }
    

    Abstract:

    Network Denial of Service (DoS) attacks are increasing in frequency, severity and sophistication, making it desirable to measure the resilience of systems to DoS attacks. In this paper, we propose a simulation-based methodology and apply it to attacks on object location services such as DNS. Our results allow us to contrast the DoS resilience of three distinct architectures for object location.

  27. J. Clark, D. Bindel, N. Zhou, S. Bhave, Z. Bai, J. Demmel, and K. S. J. Pister, “SUGAR: Advancements in a 3D Multi-Domain Simulation Package for MEMS,” in Proceedings of the Microscale Systems: Mechanics and Measurements Symposium, 2001.
    @inproceedings{2001-sugar,
      author = {Clark, Jason and Bindel, David and Zhou, Ningning and Bhave, Sunil and Bai, Zhaojun and Demmel, James and Pister, Kristofer S. J.},
      title = {{SUGAR}: Advancements in a 3D Multi-Domain Simulation Package for {MEMS}},
      booktitle = {Proceedings of the Microscale Systems:
                     Mechanics and Measurements Symposium},
      month = jun,
      year = {2001}
    }
    

    Abstract:

    Advancements in Sugar include 1) parameterizable netlists, 2) nonlinear frequency response analysis, 3) subnets, 4) improved MNA, 5) reduced order modeling, and 6) a more accurate nonlinear beam model. Examples of these features include the simulation of a two-axis mirror with over 10,000 degrees of freedom, the reduced order modeling applied of an electrostatic gap actuator, the parameterized deflection space of a thermal actuator and serpentine flexure, and the nonlinear response of a fixed-fixed beam.

  28. Z. Bai, D. Bindel, J. Clark, N. Zhou, J. Demmel, and K. S. J. Pister, “New Numerical Techniques and Tools in SUGAR for 3D MEMS Simulation,” in Proceedings of the Fourth International Conference on Modeling and Simulation of Microsystems (MSM), 2001.
    @inproceedings{2001-msm,
      author = {Bai, Zhaojun and Bindel, David and Clark, Jason and Zhou, Ningning and Demmel, James and Pister, Kristofer S. J.},
      title = {New Numerical Techniques and Tools in {SUGAR} for {3D MEMS} Simulation},
      booktitle = {Proceedings of the Fourth International Conference on
                     Modeling and Simulation of Microsystems (MSM)},
      month = mar,
      year = {2001}
    }
    

    Abstract:

    SUGAR is a nodal analysis package for 3D MEMS simulation that owes its heritage and its name to the SPICE family of circuit simulation. SUGAR has undergone the stage of proof-of-concept which showed that nodal analysis was in fact just as accurate and much faster than finite element simulation on many MEMS problems. The upcoming major release of SUGAR is version 2.0, which includes a number of new features, such as 3D beam and gap elements, thermal expansion, linearly and rotationally accelerating frames, and user-defined models.

  29. J. Kubiatowicz, D. Bindel, Y. Chen, S. Czerwinski, P. Eaton, D. Geels, R. Gummadi, S. Rhea, H. Weatherspoon, W. Weimer, C. Wells, and B. Zhao, “OceanStore: An Architecture for Global-Scale Persistent Storage,” in Procedings of the Ninth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2000), 2000.
    @inproceedings{2000-asplos,
      author = {Kubiatowicz, John and Bindel, David and Chen, Yan and Czerwinski, Steven and Eaton, Patrick and Geels, Dennis and Gummadi, Ramakrishna and Rhea, Sean and Weatherspoon, Hakim and Weimer, Westley and Wells, Chris and Zhao, Ben},
      title = {{OceanStore}: An Architecture for Global-Scale Persistent Storage},
      booktitle = {Procedings of the Ninth International Conference on
                     Architectural Support for Programming Languages and
                     Operating Systems (ASPLOS 2000)},
      month = nov,
      year = {2000},
      doi = {10.1145/356989.357007}
    }
    

    Abstract:

    OceanStore is a utility infrastructure designed to span the globe and provide continuous access to persistent information. Since this infrastructure is comprised of untrusted servers, data is protected through redundancy and cryptographic techniques. To improve performance, data is allowed to be cached anywhere, anytime. Additionally, monitoring of usage patterns allows adaptation to regional outages and denial of service attacks; monitoring also enhances performance through pro-active movement of data. A prototype implementation is currently under development.

  30. J. Clark, N. Zhou, D. Bindel, L. Schenato, W. Wu, J. Demmel, and K. S. J. Pister, “3D MEMS Simulation Modeling Using Modified Nodal Analysis,” in Proceedings of the Microscale Systems: Mechanics and Measurements Symposium, 2000, pp. 68–75.
    @inproceedings{2000-mems,
      author = {Clark, Jason and Zhou, Ningning and Bindel, David and Schenato, Luca and Wu, W. and Demmel, James and Pister, Kristofer S. J.},
      title = {{3D} {MEMS} Simulation Modeling Using Modified Nodal Analysis},
      booktitle = {Proceedings of the Microscale Systems:
                     Mechanics and Measurements Symposium},
      pages = {68--75},
      month = jun,
      year = {2000}
    }
    

    Abstract:

    The modeling, simulation, and experimental verification of several MEMS devices are presented. Simulated results include 3D mode analysis, residual stress effects, thermal expansion, nonlinear deflections, time-varying electrostatic forces, process sensitivities, induced currents, and the transient performance in accelerated reference frames. To simulate the performance of these MEMS devices a modified nodal analysis approach is used to formulate a system of ODEs that is solved by static, steady state, and transient solvers.

Reports

  1. A. Hood and D. Bindel, “Pseudospectral bounds on transient growth for higher order and constant delay differential equations,” Nov. 2016. Submitted to SIAM Journal on Matrix Analysis and Applictions.
    @techreport{2016-transient-tr,
      author = {Hood, Amanda and Bindel, David},
      title = {Pseudospectral bounds on transient growth for higher order and constant delay differential equations},
      month = nov,
      year = {2016},
      arxiv = {1611.05130},
      link = {http://arxiv.org/pdf/1611.05130},
      status = {unrefereed},
      submit = {Submitted to SIAM Journal on Matrix Analysis and Applictions.}
    }
    
  2. C. Ponce and D. Bindel, “FLiER: Practical Topology Update Detection Using Sparse PMUs,” Jul. 2016. Accepted by IEEE Transactions on Power Systems.
    @techreport{2016-flier-tr,
      author = {Ponce, Colin and Bindel, David},
      title = {{FLiER}: Practical Topology Update Detection Using Sparse {PMU}s},
      month = jul,
      year = {2016},
      arxiv = {1409.6644},
      link = {http://arxiv.org/pdf/1409.6644v3},
      code = {https://github.com/cponce512/FLiER_Test_Suite/},
      status = {unrefereed},
      submit = {Accepted by IEEE Transactions on Power Systems.}
    }
    

    Abstract:

    In this paper, we present a Fingerprint Linear Estimation Routine (FLiER) to identify topology changes in power networks using readings from sparsely-deployed phasor measurement units (PMUs). When a power line, load, or generator trips in a network, or when a substation is reconfigured, the event leaves a unique “voltage fingerprint” of bus voltage changes that we can identify using only the portion of the network directly observed by the PMUs. The naive brute-force approach to identify a failed line from such voltage fingerprints, though simple and accurate, is slow. We derive an approximate algorithm based on a local linearization and a novel filtering approach that is faster and only slightly less accurate. We present experimental results using the IEEE 57-bus, IEEE 118-bus, and Polish 1999-2000 winter peak networks.

  3. J. Chadwick and D. Bindel, “An Efficient Solver for Sparse Linear Systems Based on Rank-Structured Cholesky Factorization,” Jul. 2015.
    @techreport{2015-rsc,
      author = {Chadwick, Jeffrey and Bindel, David},
      title = {An Efficient Solver for Sparse Linear Systems Based on
                 Rank-Structured {Cholesky} Factorization},
      month = jul,
      year = {2015},
      arxiv = {1507.05593},
      link = {http://arxiv.org/pdf/1507.05593},
      code = {https://github.com/jeffchadwick/rank_structured_cholesky},
      status = {unrefereed}
    }
    

    Abstract:

    Direct factorization methods for the solution of large, sparse linear systems that arise from PDE discretizations are robust, but typically show poor time and memory scalability for large systems. In this paper, we describe an efficient sparse, rank-structured Cholesky algorithm for solution of the positive definite linear system Ax=b when A comes from a discretized partial-differential equation. Our approach combines the efficient memory access patterns of conventional supernodal Cholesky algorithms with the memory efficiency of rank-structured direct solvers. For several test problems arising from PDE discretizations, our method takes less memory than standard sparse Cholesky solvers and less wall-clock time than standard preconditioned iterations.

  4. D. Bindel and A. Hood, “Localization Theorems for Nonlinear Eigenvalues,” Aug. 2013. Appeared in SIAM Journal on Matrix Analysis and Applications in 2013.
    @techreport{2013-nep,
      author = {Bindel, David and Hood, Amanda},
      title = {Localization Theorems for Nonlinear Eigenvalues},
      month = aug,
      year = {2013},
      arxiv = {1303.4668},
      link = {http://arxiv.org/pdf/1303.4668},
      status = {unrefereed},
      submit = {Appeared in SIAM Journal on Matrix Analysis
                  and Applications in 2013.}
    }
    

    Abstract:

    Let $T : \Omega \rightarrow {\Bbb C}^{n \times n}$ be a matrix-valued function that is analytic on some simply-connected domain $\Omega \subset {\Bbb C}$. A point $\lambda \in \Omega$ is an eigenvalue if the matrix $T(\lambda)$ is singular. In this paper, we describe new localization results for nonlinear eigenvalue problems that generalize Gershgorin’s theorem, pseudospectral inclusion theorems, and the Bauer-Fike theorem. We use our results to analyze three nonlinear eigenvalue problems: an example from delay differential equations, a problem due to Hadeler, and a quantum resonance computation.

  5. W. He, D. Bindel, and S. Govindjee, “Topology Optimization in Micromechanical Resonator Design,” Structural Engineering Mechanics and Materials, Department of Civil and Environmental Engineering, University of California, Berkeley, UCB/SEMM-2009/04, Dec. 2009. Appeared in Optimization and Engineering in 2012
    @techreport{2009-topology,
      author = {He, Wei and Bindel, David and Govindjee, Sanjay},
      title = {Topology Optimization in Micromechanical Resonator Design},
      number = {UCB/SEMM-2009/04},
      institution = {Structural Engineering Mechanics and Materials,
                       Department of Civil and Environmental Engineering,
                       University of California, Berkeley},
      month = dec,
      year = {2009},
      status = {unrefereed},
      submit = {Appeared in Optimization and Engineering in 2012}
    }
    

    Abstract:

    A topology optimization problem in microelectromechanical resonator design is addressed in this paper. The design goal is to control the first several eigen-frequencies of a microelectromechanical resonator using topology optimization in order to improve the resonator’s quality of resonance. The design variable is the distribution of mass in a constrained domain which we model via (1) the Simple Isotropic Material with Penalization Model and (2) the Peak Function Model. The overall optimization problem is solved using the Method of Moving Asymptotes and a Genetic Algorithm combined with a local gradient method. A numerical example is presented to highlight the features of the methods in more detail. The advantages and disadvantages of each method are discussed.

  6. D. Bindel, “Structured and Parameter-Dependent Eigensolvers for Simulation-Based Design of Resonant MEMS,” PhD thesis, University of California, Berkeley, 2006. Appears as Tech Report EECS-2006-109.
    2008 Householder Award (best NLA thesis over three years)
    @phdthesis{2006-dissertation,
      author = {Bindel, David},
      title = {Structured and Parameter-Dependent Eigensolvers for
                 Simulation-Based Design of Resonant {MEMS}},
      school = {University of California, Berkeley},
      month = aug,
      year = {2006},
      status = {unrefereed},
      submit = {Appears as Tech Report EECS-2006-109.},
      notable = {2008 Householder Award (best NLA thesis over three years)}
    }
    

    Abstract:

    This dissertation is about computational tools to aid in the design of resonant Micro-Electro-Mechanical Systems (MEMS), tiny vibrating devices built by processes like those used to make integrated circuits. Vibrating MEMS are used in accelerometers and gyroscopes, in sensors to detect chemicals and to measure pressure, and in communication devices such as cell phones. MEMS engineers can use computer simulations to design devices using fewer costly and time-consuming prototype tests, but these simulations are only as useful as the models on which they are built. In this work, we contribute new mathematical models, numerical methods, and software tools to simulate resonant MEMS, and apply these tools to analyze specific devices. We describe physical models of damped vibrations of MEMS, including anchor loss and thermoelastic effects which are widely recognized as important, but not modeled in generality by existing tools. Though the resulting systems of equations are large and non-Hermitian, and depend nonlinearly on frequency, we use the equation structure to develop efficient structured Krylov subspace projection methods for computing free vibrations and reduced-order models. We also provide efficient continuation methods for re-computing eigendecompositions under changes to design parameters or operating conditions. Our models and analysis methods are integrated into HiQLab, a new finite element tool with a particularly flexible architecture which we have designed. Using HiQLab, we simulate example resonator designs, and compare our results to laboratory measurements. Our simulations reveal a previously-unknown mode interference phenomenon, subsequently observed in experiments, which dramatically affects the amount of damping near certain critical values of geometric parameters.

  7. D. Bindel and J. Demmel, “Continuation of Invariant Subspaces for Large Bifurcation Problems,” UC Berkeley Computer Science Division, EECS-2006-13, Feb. 2006. Appeared in SIAM Journal on Scientific Computing in 2008.
    @techreport{2006-cis,
      author = {Bindel, David and Demmel, James},
      title = {Continuation of Invariant Subspaces for Large Bifurcation Problems},
      number = {EECS-2006-13},
      institution = {UC Berkeley Computer Science Division},
      month = feb,
      year = {2006},
      status = {unrefereed},
      submit = {Appeared in SIAM Journal on Scientific Computing in 2008.}
    }
    

    Abstract:

    We summarize an algorithm for computing a smooth orthonormal basis for an invariant subspace of a parameter-dependent matrix, and describe how to extend it for numerical bifurcation analysis. We adapt the continued subspace to track behavior relevant to bifurcations, and use projection methods to deal with large problems. To test our ideas, we have integrated our code into MATCONT, a program for numerical continuation and bifurcation analysis.

  8. D. Bindel, S. Chandresekaran, J. Demmel, D. Garmire, and M. Gu, “A Fast and Stable Nonsymmetric Eigensolver for Certain Structured Matrices,” May 2005.
    @techreport{2005-compan,
      author = {Bindel, David and Chandresekaran, Shivkumar and Demmel, James and Garmire, David and Gu, Ming},
      title = {A Fast and Stable Nonsymmetric Eigensolver for
                 Certain Structured Matrices},
      month = may,
      year = {2005},
      status = {unrefereed}
    }
    

    Abstract:

    We consider the set of matrices which differ from symmetric, skew symmetric, or unitary by only a low rank modification. This class of matrices includes companion matrices, arrow matrices, and matrices corresponding to mechanical oscillators with localized damping. We show that Hessenberg and Schur forms for such matrices have semi-separable structure, and we use this fact to construct a backward stable eigensolver for such matrices which requires $O(n)$ space and runs in $O(n^2)$ time. We evaluate the performance and accuracy of our approach for several test problems, including the computation of all the roots of a polynomial or a matrix polynomial.

  9. D. Bindel and S. Govindjee, “Elastic PMLs for Resonator Anchor Loss Simulation,” Structural Engineering Mechanics and Materials, Department of Civil and Environmental Engineering, University of California, Berkeley, UCB/SEMM-2005/01, Feb. 2005. Appeared in International Journal on Numerical Methods in Engineering in 2005.
    @techreport{2005-pml-tr,
      author = {Bindel, David and Govindjee, Sanjay},
      title = {Elastic {PML}s for Resonator Anchor Loss Simulation},
      number = {UCB/SEMM-2005/01},
      institution = {Structural Engineering Mechanics and Materials,
                       Department of Civil and Environmental Engineering,
                       University of California, Berkeley},
      month = feb,
      year = {2005},
      status = {unrefereed},
      submit = {Appeared in International Journal on Numerical Methods in Engineering in 2005.}
    }
    

    Abstract:

    Electromechanical resonators and filters, such as quartz, ceramic, and surface-acoustic wave devices, are important signal-processing elements in communication systems. Over the past decade, there has been substantial progress in developing new types of miniaturized electromechanical resonators using microfabrication processes. For these micro-resonators to be viable they must have high and predictable quality factors ($Q$). Depending on scale and geometry, the energy losses that lower $Q$ may come from material damping, thermoelastic damping, air damping, or radiation of elastic waves from an anchor. Of these factors, anchor losses are the least understood because such losses are due to a complex radiation phenomena in a semi-infinite elastic half-space. Here, we describe how anchor losses can be accurately computed using an absorbing boundary based on a perfectly matched layer (PML) which absorbs incoming waves over a wide frequency range for any non-zero angle of incidence. We exploit the interpretation of the PML as a complex-valued change of coordinates to illustrate how one can come to a simpler finite element implementation than was given in its original presentations. We also examine the convergence and accuracy of the method, and give guidelines for how to choose the parameters effectively. As an example application, we compute the anchor loss in a micro disk resonator and compare it to experimental data. Our analysis illustrates a surprising mode-mixing phenomenon which can substantially affect the quality of resonance.

  10. Y. Chen, D. Bindel, H. Song, and R. Katz, “Tomography-Based Overlay Network Monitoring,” UC Berkeley Computer Science Division, CSD-03-1252, Jun. 2003. Appeared in SIGCOMM IMC 2003
    @techreport{2003-tomography-tr,
      author = {Chen, Yan and Bindel, David and Song, Hanhee and Katz, Randy},
      title = {Tomography-Based Overlay Network Monitoring},
      number = {CSD-03-1252},
      institution = {UC Berkeley Computer Science Division},
      month = jun,
      year = {2003},
      status = {unrefereed},
      submit = {Appeared in SIGCOMM IMC 2003}
    }
    

    Abstract:

    Overlay network monitoring enables distributed Internet applications to detect and recover from path outages and periods of degraded performance within seconds. For an overlay network with $n$ end hosts, existing systems either require $O(n^2)$ measurements, and thus lack scalability, or can only estimate the latency but not congestion or failures. Unlike other network tomography systems, we characterize end-to-end losses (this extends to any additive metrics, including latency) rather than individual link losses. We find a minimal basis set of $k$ linearly independent paths that can fully describe all the $O(n^2)$ paths. We selectively monitor and measure the loss rates of these paths, then apply them to estimate the loss rates of all other paths. By extensively studying synthetic and real topologies, we find that for reasonably large n (e.g., 100), $k$ is only in the range of $O(n \log n)$. This is explained by the moderately hierarchical nature of Internet routine.Our scheme only assumes the knowledge of underlying IP topology, and any link can become lossy or return to normal. In addition, our technique is tolerant to topology measurement inaccuracies, and is adaptive to topology changes.

  11. D. Bindel, J. Demmel, W. Kahan, and O. Marques, “On Computing Givens Rotations Reliable and Efficiently,” LAPACK Working Notes, 128, Jan. 2001. Appeared in ACM Transactions on Mathematical Software in 2002.
    @techreport{2001-givens,
      author = {Bindel, David and Demmel, James and Kahan, William and Marques, Osni},
      title = {On Computing {Givens} Rotations Reliable and Efficiently},
      institution = {LAPACK Working Notes},
      number = {128},
      month = jan,
      year = {2001},
      status = {unrefereed},
      submit = {Appeared in ACM Transactions on Mathematical Software in 2002.}
    }
    

    Abstract:

    We consider the efficient and accurate computation of Givens rotations. When $f$ and $g$ are positive real numbers, this simply amounts to computing the values of $c = f/\sqrt{f^2 + g^2}$, $s = g/\sqrt{f^2 + g^2}$, and $r = \sqrt{f^2 + g^2}$. This apparently trivial computation merits closer consideration for the following three reasons. First, while the definitions of $c$, $s$ and $r$ seem obvious in the case of two nonnegative arguments $f$ and $g$, there is enough freedom of choice when one or more of $f$ and $g$ are negative, zero or complex that LAPACK auxiliary routines SLARTG, CLARTG, SLARGV and CLARGV can compute rather different values of $c$, $s$ and $r$ for mathematically identical values of $f$ and $g$. To eliminate this unnecessary ambiguity, the BLAS Technical Forum chose a single consistent definition of Givens rotations that we will justify here. Second, computing accurate values of $c$, $s$ and $r$ as efficiently as possible and reliably despite over/underflow is surprisingly complicated. For complex Givens rotations, the most efficient formulas require only one real square root and one real divide (as well as several much cheaper additions and multiplications), but a reliable implementation using only working precision has a number of cases. On a Sun Ultra-10, the new implementation is slightly faster than the previous LAPACK implementation in the most common case, and 2.7 to 4.6 times faster than the corresponding vendor, reference or ATLAS routines. It is also more reliable; all previous codes occasionally suffer from large inaccuracies due to over/underflow. For real Givens rotations, there are also improvements in speed and accuracy, though not as striking. Third, the design process that led to this reliable implementation is quite systematic, and could be applied to the design of similarly reliable subroutines.

  12. J. Kubiatowicz, D. Bindel, Y. Chen, S. Czerwinski, P. Eaton, D. Geels, R. Gummadi, S. Rhea, H. Weatherspoon, W. Weimer, C. Wells, and B. Zhao, “OceanStore: An Architecture for Global-Scale Persistent Storage,” UC Berkeley Computer Science Division, CSD-00-1102, Mar. 2000. Appeared in ASPLOS 2000.
    @techreport{2000-oceanstore-tr,
      author = {Kubiatowicz, John and Bindel, David and Chen, Yan and Czerwinski, Steven and Eaton, Patrick and Geels, Dennis and Gummadi, Ramakrishna and Rhea, Sean and Weatherspoon, Hakim and Weimer, Westley and Wells, Chris and Zhao, Ben},
      title = {{OceanStore}: An Architecture for Global-Scale Persistent Storage},
      number = {CSD-00-1102},
      institution = {UC Berkeley Computer Science Division},
      month = mar,
      year = {2000},
      status = {unrefereed},
      submit = {Appeared in ASPLOS 2000.}
    }
    

    Abstract:

    OceanStore is a utility infrastructure designed to span the globe and provide continuous access to persistent information. Since this infrastructure is comprised of untrusted servers, data is protected through redundancy and cryptographic techniques. To improve performance, data is allowed to be cached anywhere, anytime. Additionally, monitoring of usage patterns allows adaptation to regional outages and denial of service attacks; monitoring also enhances performance through pro-active movement of data. A prototype implementation is currently under development.

External Talks

Colloquium and Seminar Talks

  1. Model Reduction for Edge-Weighted Personalized PageRank
    2017 Feb • Berkeley CS Colloquium
    colloquium
  2. Nonlinear Eigenvalue Problems: Theory and Applications
    2017 Jan • Berkeley Applied Math Seminar
  3. Model Reduction for Edge-Weighted Personalized PageRank
    2016 Dec • NYU Numerical Analysis and Scientific Computing Seminar
  4. Fast Fingerprints for Power System Events
    2016 Oct • Argonne National Lab
  5. Fast Fingerprints for Power System Events
    2016 Aug • Lawrence Berkeley Lab
  6. Model Reduction for Edge-Weighted Personalized PageRank
    2016 Apr • Purdue Computational and Applied Mathematics Seminar
  7. Model Reduction for Edge-Weighted Personalized PageRank
    2016 Mar • Hong Kong Baptist University
  8. Nonlinear Eigenvalue Problems: Theory and Applications
    2016 Mar • University of Arizona Math Colloquium
    colloquium
  9. Model Reduction for Edge-Weighted Personalized PageRank
    2015 Oct • Stanford LA/Opt Seminar
  10. Model Reduction for Edge-Weighted Personalized PageRank
    2015 Oct • Berkeley Matrix Computations Seminar
  11. Music of the Microspheres
    2014 Apr • Oxford University NA Seminar
  12. Music of the Microspheres
    2014 Jan • UMCP NA Seminar
  13. Music of the Microspheres
    2013 Nov • Seminar at UTRC
  14. Music of the Microspheres
    2013 Oct • Tufts/Schlumberger Scientific Computing Seminar
  15. Computer Aided Design of Micro-Electro-Mechanical Systems
    2013 Apr • Civil Engineering Seminar at Duke
  16. Communities, Spectral Clustering, and Random Walks
    2011 Nov • University of Chicago Scientific Computing Seminar
  17. Applications and Analysis of Nonlinear Eigenvalue Problems
    2009 Nov • Simon Fraser University NA Seminar
  18. Computer-Aided Design for Micro-Electro-Mechanical Systems
    2008 Nov • Stanford LA/Opt Seminar
  19. Computer-Aided Design for Micro-Electro-Mechanical Systems
    2008 Nov • MIT Applied Math Colloquium
    colloquium
  20. Bounds and Error Estimates for Nonlinear Eigenvalue Problems
    2008 Oct • Berkeley Applied Math Seminar
  21. Computer-Aided Design for Micro-Electro-Mechanical Systems
    2008 Jan • Rice University Applied Math Colloquium
    colloquium
  22. Computer-Aided Design for Micro-Electro-Mechanical Systems
    2007 Nov • Temple University NA Seminar
  23. Computer-Aided Design for Micro-Electro-Mechanical Systems
    2007 Nov • Cornell CS Colloquium
    colloquium
  24. Computer-Aided Design for Micro-Electro-Mechanical Systems
    2007 Mar • Columbia Applied Math Colloquium
    colloquium
  25. Spectral Inclusion Regions for Bifurcation Analysis
    2006 Aug • Stanford NA Seminar
  26. Computer-Aided Design for Micro-Electro-Mechanical Systems
    2006 Apr • CU Boulder CS Colloquium
    colloquium
  27. Computer-Aided Design for Micro-Electro-Mechanical Systems
    2006 Mar • UC Davis CS Colloquium
    colloquium
  28. Computer-Aided Design for Micro-Electro-Mechanical Systems
    2006 Feb • Caltech CS Colloquium
    colloquium
  29. Computer-Aided Design of MEMS
    2004 Nov • NYU Numerical Analysis Seminar
  30. SUGAR: A MEMS Simulation Program
    2002 Jun • Sun Microsystems

Workshop and Conference Talks

  1. Celebrating Charlie
    2016 Jul • SIAM Annual Meeting, Boston
    minisymposium organizer
  2. Density of States for Graph Analysis
    2016 Jul • SIAM Annual Meeting, Boston
    poster
  3. An Efficient Solver for Sparse Linear Systems based on Rank-Structured Cholesky Factorization
    2016 Mar • TSIMF Workshop on Structured Matrix Computations with Applications
    invited
  4. Grumbles of a Numerical Analyst
    2015 Dec • Dagstuhl Seminar on Approximate and Probabilistic Computing
    invited
  5. Localizing Nonlinear Eigenvalue Problems: Theory and Applications
    2015 Oct • SIAM LA 2015 (Prize Lecture)
    invited plenary
  6. RBF Response Surfaces with Inequality Constraints
    2015 Mar • SIAM CSE
    minisymposium organizer
  7. FLiER: Practical Topology Error Correction Using Sparse PMUs
    2015 Feb • ARPAe Innovation Summit, National Harbor, MD
    poster
  8. Music of the Microspheres
    2014 Jun • Householder Symposium
    invited plenary
  9. Eigenvalue Localization and Applications
    2014 Apr • NEP14 Workshop
    invited
  10. An Efficient Solver for Sparse Linear Systems based on Rank-Structured Cholesky Factorization
    2013 Jul • Workshop on Forty Years of Nested Dissection, University of Waterloo
  11. Some perturbation theorems for nonlinear eigenvalue problems
    2013 Jan • Workshop on Dissipative Spectral Theory, Cardiff
    invited
  12. Computer Aided Design of Micro-Electro-Mechanical Systems
    2012 Dec • SCMS Workshop on Recent Advances in Scientific Computing, Fudan University
    invited
  13. Computer Aided Design of Micro-Electro-Mechanical Systems
    2012 Dec • FIST Workshop at Shanghai Tech
    invited
  14. From Networks to Numerical Linear Algebra
    2012 Oct • NYCAM
    organizer
  15. Numerical Analysis of Resonances
    2012 Sep • Weyl at 100 Workshop (Fields Institute)
    invited
  16. AxFEM: Micro-Gyro Simulation and Modeling
    2012 Jul • DARPA MRIG Program Meeting
  17. Analyzing Resonances via Nonlinear Eigenvalues
    2011 Jul • ICIAM
    minisymposium invited
  18. Matrix Factorizations for Computer Network Tomography
    2011 Jul • Householder Symposium
    invited plenary
  19. Integrating Multiphysics and Multiscale Modeling Environment Together
    2011 May • DSRC Meeting, Alexandria
    invited
  20. Structure-Preserving Model Reduction for MEMS
    2011 Mar • SIAM CSE Meeting
    minisymposium invited
  21. Resonances: Interpretation, Computation, and Perturbation
    2010 Jul • Workshop in honor of Pete Stewart at UT Austin
    invited
  22. Structure-Preserving Model Reduction for MEMS Modeling
    2010 Jul • SIAM Annual Meeting
    minisymposium invited
  23. Finite Element Software for Bone Deformation and Failure
    2010 Apr • BTHSCA1 Workshop, UCLA IPAM
    invited
  24. Bounds and Error Estimates for Resonance Problems
    2009 Jul • SIAM Annual Meeting
    minisymposium invited
  25. Numerical Methods for Resonance Calculations
    2009 Jul • MSRI Workshop on Resonances
    invited
  26. Numerical Methods for Resonance Calculations
    2008 Oct • BIRS Resonance Workshop
    invited
  27. Computer-Aided Design for Micro-Electro-Mechanical Systems
    2008 Jun • Householder Symposium (Householder Award Talk)
    invited plenary
  28. Error Bounds and Error Estimates for Nonlinear Eigenvalue Problems
    2008 Jun • Householder Symposium
    minisymposium invited
  29. Structure Preserving Model Reduction for Damped Resonant MEMS
    2007 Jul • USNCCM
    minisymposium invited
  30. Continuation of Sparse Eigendecompositions
    2007 Feb • SIAM CSE
    minisymposium organizer
  31. Model Reduction and Mode Computation for Damped Resonant MEMS
    2007 Feb • SIAM CSE
    minisymposium invited
  32. Modeling Resonant Microsystems
    2006 May • Abel Symposium
    invited
  33. Elastic PMLs for Resonator Anchor Loss Simulation
    2005 Jul • US National Conference on Computational Mechanics
    minisymposium invited
  34. Eigenproblems in Resonant MEMS Design
    2005 Jul • SIAM Annual Meeting
    minisymposium invited
  35. Continuation of Invariant Subspaces of Sparse Parameter-Dependent Matrices
    2005 May • Householder Symposium
    invited plenary
  36. Fast Hessenberg QR Iteration for Companion Matrices
    2004 Jul • SIAM Annual Meeting
    minisymposium invited
  37. Reduced Order Models in Microsystems and RF MEMS
    2004 Jun • PARA 2004
    minisymposium invited
  38. Simulating RF MEMS
    2004 Mar • Bay Area Scientific Computing Day
    invited
  39. Fast QR Iteration for Companion Matrices
    2003 Jul • SIAM Linear Algebra Meeting
    minisymposium invited
  40. SUGAR: A MEMS Simulation Program
    2002 Apr • MSM 2002
    tutorial

Software

PySOT Python Surrogate Optimization Toolbox
POAP Python for Optimization with Asynchronous Plumbing
GraphDoS Analyzing graphs based on global and local Density of States
RSC Rank-structured Cholesky for fast PDE solves
AxFEM Fast simulation of near-axisymmetric resonant MEMS
MatScat 1D scattering and resonance computation in MATLAB
BoneFEA Finite element analysis of human bones
MATFEAP MATLAB interfaces to the FEAP finite element code
MWrap A gateway language for mixing MATLAB and C
Matexpr A MATLAB-like mini-language for fast inner loops in C
HiQLab Finite element analysis of damping in high-frequency MEMS
SUGAR System-level simulation software for MEMS
CLAPACK 3.0 C interfaces to the LAPACK linear algebra library

Teaching

S17: CS 4220/5223 / MATH 4260 Numerical Analysis: Linear and Nonlinear Problems
F16: CS 6210 Matrix Computations
S16: CS 4220/5223 / MATH 4260 Numerical Analysis: Linear and Nonlinear Problems
F15: CS 5220 Applications of Parallel Computers
S15: CS 4220/5223 / MATH 4260 Numerical Analysis: Linear and Nonlinear Problems
S14: CS 5220 Applications of Parallel Computers
F13: CS 6210 Matrix Computations
F12: CS 6210 Matrix Computations
S12: CS 3220 Introduction to Scientific Computing
F11: CS 5220 Applications of Parallel Computers
S11: CS 3220 Introduction to Scientific Computing
S10: CS 5220 Applications of Parallel Computers
F09: CS 6210 Matrix Computations
S09: NYU G22.2112 Scientific Computing
F08: NYU G22.2945 High Performance Scientific Computing
S08: NYU V63.0222 Honors Calculus II
F07: NYU V63.0233 Theory of Probability
S07: NYU V63.0222 Honors Calculus II
F06: NYU V55.0101 Quantitative Reasoning: Mathematical Patterns in Nature
F05: Berkeley CS 164 Compilers and Programming Languages (TA for Richard Fateman)
F01: Berkeley CS 267 Applications of Parallel Computers (TA for Kathy Yelick)

Societies

Member SIAM (Society for Industrial and Applied Mathematics)
Member AMS (American Mathematical Society)
Member ACM (Association for Computing Machinery)
Member IEEE (Institute of Electrical and Electronics Engineers)

Service

External Activities

2018 Scientific committee co-chair SIAM Applied Linear Algebra Conference
2017 Program committee member IEEE International Parallel and Distributed Processing Symposium
2016 Minisymposium organizer SIAM Annual Meeting
2016 Program committee member IEEE International Parallel and Distributed Processing Symposium
2015 Program committee member IEEE International Parallel and Distributed Processing Symposium
2015 Organizing committee member Workshop on Development of Modern Methods for Linear Algebra
2015-present Scientific committee member Householder Symposium on Numerical Linear Algebra
2014 Poster commitee member Supercomputing
2013 Local organizer Fourth New York Conference on Applied Mathematics
2013 Technical program committee member Supercomputing
2012-2015 Secretary SIAM Activity Group on Linear Algebra
2012 Organizing committee member Third New York Conference on Applied Mathematics
2011 Organizing committee member Second New York Conference on Applied Mathematics
2017-2020 Associate editor Journal of Computational Mathematics
2010-present Editor Numerical Linear Algebra with Applications
2008-present Managing editor Electronic Transactions on Numerical Analysis
2007 Minisymposium organizer SIAM Computational Science and Engineering Meeting
2002-2004 Secretary IEEE 754R Standard Revision Committee

Local Activities

2017-2017 Committee member CS Colloquium Committee
2017-2017 Committee Member Applied Math Graduate Admissions Committee
2016-2017 Committee member CS Faculty Recruiting Committee
2015-2016 Committee member CS Graduate Admissions
2015 Committee member Applied Math Curriculum Review Committee
2014 Judge BigRed Hacks
2013-2014 Committee member Applied Math Graduate Admissions
2011-2012 Committee member Applied Math Graduate Admissions
2011-2014 Committee member Cornell Faculty Advisory Board on Information Technology
2010-2011 Committee member CS Graduate Admissions
2010-2011 Committee member Applied Math Graduate Admissions
2009-2010 Committee member CS Graduate Admissions
2009-2010 Committee member Applied Math Graduate Admissions
2009-present Organizer Cornell Scientific Computing and Numeric Seminar

Review Activity

ACM Journal on Emerging Technologies in Computing Systems 2014
ACM Transactions on Mathematical Software 2016 2015 2014 2013
American Mathematical Monthly 2015
SIAM Journal on Applied Mathematics 2016
SIAM Journal on Matrix Analysis 2015 2014 2012 2009 2008 2007 2006 2005
SIAM Journal on Multiscale Modeling and Simulation 2012
SIAM Journal on Scientific Computing 2016 2015 2014 2009 2008
IEEE Sensors 2014
IEEE Transactions on Dependable and Secure Computing 2014
IEEE Journal of Microelectromechanical Systems 2011 2010 2009 2008 2007 2003
IEEE Transactions on Signal Processing 2007
Applicable Analysis 2007
Applied Mathematics and Computation 2011
Communications in Pure and Applied Math 2010
International Journal of Computer Mathematics 2012
International Journal of Solids and Structures 2015
Journal of Applied Mechanics 2007
Journal of Applied Physics 2007
Journal of Computational Physics 2016 2015 2012 2011
Journal of Micromechanics and Microengineering 2016 2015 2014 2011 2009 2008 2007
Journal of Machine Learning Research 2016
Journal of Physics A: Mathematical and Theoretical 2007
Linear Algebra and its Applications 2015 2014 2013 2010 2009 2003
Mathematics of Computation 2007
Multiscale Modeling and Simulation 2013
Numerical Linear Algebra with Applications 2016 2015 2014 2013 2012 2011 2010
Numerische Mathematik 2011 2009
Transactions of the Canadian Society for Mechanical Engineering 2009
DSL 2011: IFIP Working Conference on Domain-Specific Languages 2011
PARA04 conference proceedings 2004
IEEE ARITH conference 2004
ACM International Conference on Supercomputing 2003
ACM SIGGRAPH 2011 2009
Proposal referee for the Netherlands science foundation (NWO) 2003
Proposal referee for DOE 2015 2009
Proposal referee for NSF 2017 2016 2012
Proposal referee for NASA 2017

Students

PhD students

David Eriksson
Applied Math
Surrogate optimization methods
Co-advised (secondary advisor: Christine Shoemaker)
Kun Dong
Applied Math
Spectral graph analysis
Eric Lee
Computer Science
Analysis of power grids
Moontae Lee
Computer Science
Spectral methods for topic models
Co-advised (primary advisor: David Mimno)
Amanda Hood
Applied Math
Ph.D., 2017
Localizing the eigenvalues of matrix-valued functions: analysis and applications
Colin Ponce
Computer Science
Ph.D., 2016
Network-Structured Error Flattening for Power Grids and Other Real-World Networks
Erdal Yilmaz
Applied Physics
Ph.D., 2016
Design, Analysis and Simulation of Microscale Solid-Wave Gyroscopes
Research advisor (formally advised by Richard Lovelace)

Masters students

Han Wen Chen
Computer Science
M.Eng., 2017
Jupyter Notebooks for Finite Element Analysis
Michael Ficenic
Computer Science
M.Eng., 2017
Network Classification via Spectral Features
Paul West
Computer Science
M.Eng., 2017
Optimization with Pre-Emptible VMs
Joel Lubitinsky
Computer Science
M.Eng., 2017
Resource-Coupled Evolutionary Games
Ioana-Maria Tamas
Computer Science
M.Eng., 2017
Resource-Coupled Evolutionary Games
Batu Inal
Computer Science
M.Eng., 2016
Super Seminar Scraper
Sania Nagpal
Computer Science
M.Eng., 2016
Fast Trial Spaces for Parameterized PageRank Problems
Suarabh Netravalkar
Computer Science
M.Eng., 2016
Fast Trial Spaces for Parameterize PageRank Problems
Shitong Jia
Computer Science
M.Eng., 2016
Etch-a-Sketch 3D
Jing Jing
Computer Science
M.Eng., 2016
Super Seminar Scraper
Jiankun Lu
Computer Science
M.Eng., 2016
Super Seminar Scraper
Xiangyu Zhang
Computer Science
M.Eng., 2016
Edge-Weighted Parameterized PageRank: A Demo
Markus Salasoo
Computer Science
M.Eng., 2016
Edge-Weighted Parameterized PageRank: A Demo
Ziyang Tang
Computer Science
M.Eng., 2016
Optimizing Price of Anarchy in a Model of Opinion Formation
Jia Zhang
Computer Science
M.Eng., 2016
Spectral Histograms on Networks
Xiaoan Yan
Computer Science
M.Eng., 2015
Edge-Weighted Parameterized PageRank: A Demo
Chen Ting-Hao
Electrical Engineering
M.Eng., 2013
MEMS Simulation as a Service
Syed Hassan
Computer Science
M.Eng., 2013
MEMS Simulation as a Service
Kim Young Jae
Computer Science
M.Eng., 2013
Teaching Support Vector Machines to Predict Profitable Stock Offers
Jungmin Yun
Computer Science
M.Eng., 2012
Python Implementation of a Stochastic RBF Optimization Method
Jesseon Chang
Computer Science
M.Eng., 2012
Python Implementation of a Stochastic RBF Optimization Method
Chen-Yi Chen
Computer Science
M.Eng., 2012
A Flexible Interface to FEAP
Scott Purdy
Computer Science
M.Eng., 2010
Process Replication for HPC Applications
Peter Hunt
Computer Science
M.Eng., 2010
Process Replication for HPC Applications
Silvio Tarca
Scientific Computing (NYU)
M.S., 2010
Performance Optimization of Symmetric Factorization Algorithms

Undergraduate students

Nathaniel Rogalskyj Identifying Network Changes from Ringdown Analysis (2016)
Anna Yesypenko Graph Analysis via Density of States (2016)
Moteleolu Onabajo Graph Analysis via Density of States (2016)
Jianqiu Wang Graph Analysis via Density of States (2016)
Humam Alwassel Automated Floating Point Error Analysis (2015)
Patrick Chen Super Seminar Scraper (2015-16)
Jooyoung Park Maximum Entropy Method Implementation in MATLAB (2015)
Sheroze Sherifdeen MatScat for Python (2015-16)
Nimit Sohoni Review of the FEAST Eigensolver (2015)
Leon Davis Diagonal Completion for Low-Rank Matrices (2015)
Greg Rosenthal PageRank with Random Edge Weights (2015)
Eric Ma Graph Analysis via Spectral Histograms (2015)
Brandon Hartz Fast PageRank on Parameter-Dependent Graphs (2014)
Marshall Jiang Randomly Projected GMRES (2014-15)
Kyu-Young Kim Evaluating Overlapping Community Detection via Matrix Factorizations (2011-12)
Jiexun Xu Fast Factorizations for Network Tomography (2008)
Iva Vukicevic Error Bounds and Estimates for a Discrete Sine-Gordon Equation (2008)
Daniel Parry Bounds on Biased and Unbiased Random Walks (2008)
Anwis Davis MEMS Web Service (2002)
Ernest Zhu MEMS Web Service (2001)
Wayne Kao MEMS Web Service (2001)

Thesis committees

Current

  1. Chris Browne (Applied Math)
  2. Nicholas Booher (Computational Biology)
  3. Yuan Cheng (Civil Engineering)
  4. Kun Dong (Applied Math)
  5. David Eriksson (Applied Math)
  6. Marc Gilles (Applied Math)
  7. Jiayi Guo (Operations Research)
  8. Matthew Hin (Applied Math)
  9. Shreyas Honrao (Material Science)
  10. Junteng Jia (Chemistry)
  11. Chaitali Joshi (Physics)
  12. Fujun Luan (Computer Science)
  13. Moontae Lee (Computer Science)
  14. Stephen McDowell (Computer Science)
  15. Benjamin Revard (Material Science)
  16. Enrique Rojas (Atmospheric Science)
  17. Zhengdi Shen (Applied Math)
  18. Qinru Shi (Applied Math)
  19. Yu Su (Chemical Engineering)
  20. Saul Toscano (Operations Research)
  21. Sheng Wang (Mechanical Engineering)

Graduated

Nicholas Savva
Computer Science
M.S., 2017
A Practical Framework for Measuring and Modeling the Appearance of Strongly Anisotropic Materials
Zachary Clawson
Applied Math
Ph.D., 2017
Shortest Path Problems: Domain Restriction, Anytime Planning, and Multi-Objective Optimization
Amanda Hood
Applied Math
Ph.D., 2017
Localizing the eigenvalues of matrix-valued functions: analysis and applications
Sepehr Saroukhani
Civil Engineering
Ph.D., 2017
Atomistic Modeling of Dislocation Motion at Experimental Time-Scales
Michael Meyer
Computational Biology
Ph.D., 2017
Methods for Functional Inference in the Proteome and Interactome
William Nicholson
Statistics
Ph.D., 2016
Tools For Modeling Sparse Vector Autoregressions
Kyle Wilson
Applied Math
Ph.D., 2016
Robustly Modeling The World From Photos
Danielle Toupo
Applied Math
Ph.D., 2016
Nonlinear Dynamics Of Cycles In Evolutionary Games
Colin Ponce
Computer Science
Ph.D., 2016
Network-Structured Error Flattening For Power Grids And Other Real-World Networks
Erdal Yilmaz
Applied and Engineering Physics
Ph.D., 2016
Design, Analysis And Simulation Of Microscale Solid-Wave Gyroscopes
Shuo Chen
Computer Science
Ph.D., 2016
Representation Learning For Sequence And Comparison Data
Manuel Diaz
Civil Engineering
Ph.D., 2015
A Modified Error In Constitutive Equation Approach For Viscoelasticity Imaging With Interior Data
Parvez Sukheswalla
Mechanical Engineering
Ph.D., 2015
Computational Investigation Of The Dynamics Of Inertial Particles In Homogeneous Turbulent Shear Flow
Hyung Joo Park
Applied Math
Ph.D., 2015
Topics In Structure Determination Of Submicron Sized Objects
Wenlei Xie
Computer Science
Ph.D., 2015
Iterative Graph Computation In The Big Data Era
Tao Zou
Computer Science
Ph.D., 2015
Optimizing Response Time For Distributed Applications In Public Clouds
Santoshkalyan Rayadhurgam
Chemical Engineering
M.S., 2015
Computational Study Of Charge Conducting Spacer Molecules In Leadchalcogenide Quantum Dots
Shashank Adimulam
Electrical Engineering
M.S., 2015
Hardware Model Of A Mixed Radix Fast Fourier Transform For LTE 3Gpp
Laura Fegely
Electrical Engineering
Ph.D., 2014
Goblits To OMG: 3D Fabrication Techniques For An Opto-Mechanical Gyroscope
James Warner
Civil Engineering
Ph.D., 2014
Advances In Uncertainty Quantification And Inverse Problems In Computational Mechanics
Adam Chacon
Applied Math
Ph.D., 2014
Eikonal Equations: New Two-Scale Algorithms And Error Analysis
Anthony Sabelli
Applied Math
Ph.D., 2013
Novel Methods For Source Localization And Material Identification
Ilias Bilionis
Applied Math
Ph.D., 2013
Bayesian Methods For Uncertainty Quantification
Guozhang Wang
Computer Science
Ph.D., 2013
Automatic Scaling Iterative Computations
Jeffrey Chadwick
Computer Science
Ph.D., 2013
Sound Synthesis For Physics-Based Computer Animation
David Rowinski
Mechanical Engineering
Ph.D., 2013
Calculations Of Turbulent Reacting Flows Using PDF Methods
Ananth Kaushik
Chemical Engineering
Ph.D., 2013
A Computational Study Of The Molecular And Electronic Structure Of Self-Assembled Nanocrystal Superlattices
Ryan Peterson
Computer Science
Ph.D., 2012
Efficient Content Distribution With Managed Swarms