About me

Sandeep Polisetty
My name is Sandeep Polisetty. I am a fifth year computer science MS/PhD student at the University of Massachusetts, Amherst. I am broadly interested in the systems for efficient machine learning with special interest in Graph Neural Networks, Quantization and Compiler optimizations for novel hardware. I look to attack every point of the stack for machine learning from novel hardware pipelines in verilog to efficient compilers such as XLA and TVM. I am actively seeking research internship where I can work on related prolems. I am co-advised by Prof. Hui Guan and Prof. Marco Serafini. My recent projects are:
  1. Ongoing project optimizing distributed training of GNN through locality centric execution
  2. Optimizing sampling on GPUs for Graph Neural Networks. (published: Eurosys 2021)
  3. polyhedral optimization for dynamic shape operators using TVM. (Presented at TVMConf work done during internship at reservoir labs summer 2021)

My resume can be found over here: Link

Apart from computer science, I love olympic weightlifting (especially snatch) and all outdoor rustic activities such as bushcraft, surfing, scuba diving. Apart from GPUs and communication scheduling, I can talk for hours on these other topics.

Contact me: at sandeep06011991@gmail.com