Welcome to
Parallel
Architecture,
System, and
Algorithm lab!

INTRODUCTION

Parallel Architecture, System, and Algorithm (PASA) Lab in the Electrical Engineering and Computer Science Department at the University of California, Merced performs research in core technologies for large-scale parallel systems. The core theme of our research is to study how to enable scalable and efficient execution of enterprise and scientific applications on increasingly complex large-scale parallel systems. Our work creates innovation in runtime, architecture, performance modeling, and programming models; We also investigate the impact of novel architectures (e.g., non-volatile memory and accelerator with massive parallelism) on the designs of applications and runtime. Our goal is to improve the performance, reliability, energy efficiency, and productivity of large-scale parallel systems.

See our Research and Publications pages for more information about our work. For information about our group members, see our People page.

RECENT NEWS

  • 09/2018 Our research on resilience computation patterns is highlighted in hpcwire.
  • 09/2018 Congratulations to Wenqian, Anzheng, Kai, and Jie! They are accepted as student volunteers for SC’18. Congratulations to Jiawen and Jie! They are accepted as student volunteers for OSDI’18.
  • 08/2018 A paper (FlipTracker: Understanding Natural Error Resilience in HPC Applications) is accepted by SC'18.
  • 07/2018 A paper (Processing-in-Memory for Energy-efficient Neural Network Training: A Heterogeneous Approach) is accepted by MICRO'18.
  • 06/2018 A paper (GMOD: A Dynamic GPU Memory Overflow Detector) is accepted by PACT'18.
  • 06/2018 A paper (Modeling Application Resilience in Large Scale Parallel Execution) is accepted by ICPP’18.
  • 05/2018 A paper ( Runtime Data Management on Non-Volatile Memory-Based Heterogeneous Memory for Task Parallel Programs) is accepted by SC’18.
  • 05/2018 Welcome Dr. Guoyang Chen (Alibaba research) to visit the PASA lab!