High Performance Computing Systems and Architecture Group
Welcome to the High Performance Computing Systems and Architecture Group Website
Our research focuses on optimizing performance of those emerging and mission-critical applications on increasingly heterogeneous hardware. Hardware heterogeneity, commonly evidenced by memory heterogeneity and machine learning accelerators poses challenges on programming methods, performance analysis and modeling, runtime design, and architecture design. HPCSA@Merced is composed of researchers with strong expertise on high performance computing (particularly runtime systems, compiler, interconnect and HPC applications) and accelerator architecture. Our research is widely supported by various government agencies (e.g., NSF, DOE and California) and industry (e.g., NVIDIA and Intel).
[3/2021] Profs. Jeon and Li received the Academic Senate Faculty Grant for efficient deep learning model training on heterogeneous memory architectures.
[12/2020] Ph.D. student Shashank Gugnani has successfully defended his thesis and graduated. Congratulations, Dr. Gugnani!
[12/2020] A paper is accepted in IPDPS 2021: NVMe-CR: A Scalable Ephemeral Storage Runtime for Checkpoint/Restart with NVMe-over-Fabrics. Congratulations, Shashank and Tianxi!
[12/2020] A paper is accepted in VLDB 2021: Understanding the Idiosyncrasies of Real Persistent Memory. Congratulations, Shashank and Arjun!