Home - APECS Lab

We are hiring!

Our Lab is always looking for talented and self-motivated students (PhD, Masters, and Undergrad) to work on projects in AI hardware, large-scale machine learning, MPI, and high-performance data compression.

More Info

High-Performance Computing, Systems, and Architecture

Our lab broadly interested in HPC topics.

Latest News

[Paper] Our paper has been accepted by IEEE IPDPS-2023! Congratulations to Milan! 12/2022

[Service] I will serve as a Technical Program Committee (TPC) member for IEEE IWBDR-3. 11/2022

More News

Selected Publications

[ICS] Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello Lightweight Huffman Coding for Efficient GPU Compression. In 37th International Conference on Supercomputing (acceptance rate:)

Milan Shah, Xiaodong Yu, Sheng Di, Danylo Lykov, Yuri Alexeev, Michela Becchi, Franck Cappello, “GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations.” In 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS), IEEE, 2023 (AR:)