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I am a third year Ph.D. student in the department of Computer Science at Cornell University where I am advised by Rachee Singh. My research spans systems and networking, specifically, systems for machine learning. I am interested in accelerating distrbuted deep learning training by improving both the systems and the networking stacks used for training. I also enjoy working with Robbert van Renesse and Fred B. Schneider on data replication.

Before joining Cornell, I had a wonderful time in the Systems group at Microsoft Research India. Here, I was advised by Dr. Muthian Sivathanu and Dr. Saikat Guha while working on mobile networks and storage stack for deep learning frameworks.

Prior to that, I obtained my undergraduate degree in Information Science and Engineering from PES University, Bengaluru. During my undergraduate degree, I was introduced to systems research as an intern at Microsoft Research India. I also spent memorable six months in the industry as an intern at Intuit India during my final semester of undergraduate degree.

You can find my CV here: [PDF].


Please feel free to contact me or drop by my office if you are at Cornell.

Email: abhishek [at] cs [dot] cornell [dot] edu

Office: 301, Bill and Melinda Gates Hall, 107 Hoy Road, Ithaca, NY, 14853 .


Quiver: An Informed Storage Cache for Deep Learning
Abhishek Vijaya Kumar, Muthian Sivathanu
FAST, 2020