I'm Senhe Hao, a computer science PhD student at Georgia Tech. I work with Prof. Alexey Tumanov in the GaTech SAIL lab. My interests are in high performance computing and machine learning systems, currently with a focus on systems for physical AI inference.
Previously I interned at Lawrence Livermore National Laboratory and Lawrence Berkeley Lab. There I worked on performance analysis tooling, distributed machine learning systems, and sparse attention computation.
Efficient sparse attention computation.
Bridging Cache-Friendliness and Concurrency: A Locality-Optimized In-Memory B-Skiplist | ICPP '25
Building a system to run massive scale CNNs, focusing on issues with communication at scale.
AI + Systems
Topper fellowship awarded based on merit to top applicants.
Performance analysis tools, Benchpark.
Scalable deep learning benchmark, LBANN.