Hopper Workload Analysis

Austin, Brian ; Butler, Tina ; Gerber, Richard ; Whitney, Cary ; Wright, Nicholas ; Yang, Woo-Sun ; Zhao, Zhengji

关键词: workload analysis;    workload characterization;    supercomputing;    HPC;   

DOI  :  10.2172/1163230
RP-ID  :  LBNL-6804E
PID  :  OSTI ID: 1163230

学科分类：数学（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

The National Energy Research Scientific Computing (NERSC) Center is the primary computing facility for the United States Department of Energy, Office of Science. With over 5,000 users and over 600 different applications utilizing NERSC systems, it is critically important to examine the workload running on NERSCs large supercomputers in order to procure systems that perform well for a broad workload. In this paper we show the breakdown of the NERSC workload by science area, algorithm, memory, thread usage and more. We also describe the methods used to collect data from NERSCs Hopper (Cray XE6) system.