Benchmark Test of High Performance Computing Cluster Based on HPCC

被引：0
|
作者：
Jin Nengzhi [1 ]
Zhe Jianwu [1 ]
Xiao Haili [2 ]
Wang Xiaoning [2 ]
Shen Yulin [1 ]
机构：
[1] Gansu Comp Ctr, Key Lab Cloud Comp Gansu Prov, Lanzhou, Peoples R China
[2] Chinese Acad Sci, Comp Network Informat Ctr, Beijing, Peoples R China
来源：
2021 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS AND COMPUTER ENGINEERING (ICCECE) | 2021年
基金：
国家重点研发计划;
关键词：
component; high performance computing; HPCC; linpack; benchmark;
D O I：
10.1109/ICCECE51280.2021.9342061
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
High performance computing has become one of the fundamental scientific and technological strengths, and it is also an indispensable tool for scientific and engineering computing. Benchmark test is very important for high performance computing. As a supplementary tool for HPL testing, High Performance Computing Challenge (HPCC) not only evaluates the floating-point computing power, but also comprehensively evaluates memory access speed, network communication speed and other performance. The HPCC testing will reflect the performance of all aspects of a high performance computing system. This paper takes a set of high performance computing clusters in the Gansu Computing Center to study the impact of the key parameters including matrix size N, the matrix block size NB and the two dimensional processor grid PxQ on the HPCC benchmark test, and conduct multi-node test and analysis of this cluster.
引用
收藏
页码：469 / 475
页数：7
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