I design better hardware–software abstractions through research in programming languages and computer architecture. Much of my work is on approximate computing: the idea that computers can be more efficient if they are allowed to be imperfect. To help programmers trade off accuracy for efficiency, we need new languages, tools, processors, accelerators, memories, and compilers.

I am an assistant professor in the Department of Computer Science at Cornell University, where I am also part of the Computer Systems Laboratory. I graduated from the University of Washington in 2015. Here’s my CV.

latest blogging: October 14, 2017 — more bloggingssubscribe

Closed Problems in Approximate Computing

I’m giving a talk at the NOPE workshop about impossible problems in approximate computing. Here are some research directions that are no longer worth pursuing—and a few that are.