Performance Evaluation of Massively Parallel Systems Using SPEC OMP Suite

Computers

Dheya Mustafa¹ 

[1] Department of Computer Engineering, Faculty of Engineering, The Hashemite University, Zarqa 13133, Jordan;

关键词: performance measurement;    Xeon Phi;    Blue Gene;    multicore;    many integrated cores;    performance analysis;   

DOI  :  10.3390/computers11050075

来源: DOAJ

【 摘 要 】

Performance analysis plays an essential role in achieving a scalable performance of applications on massively parallel supercomputers equipped with thousands of processors. This paper is an empirical investigation to study, in depth, the performance of two of the most common High-Performance Computing architectures in the world. IBM has developed three generations of Blue Gene supercomputers—Blue Gene/L, P, and Q—that use, at a large scale, low-power processors to achieve high performance. Better CPU core efficiency has been empowered by a higher level of integration to gain more parallelism per processing element. On the other hand, the Intel Xeon Phi coprocessor armed with 61 on-chip x86 cores, provides high theoretical peak performance, as well as software development flexibility with existing high-level programming tools. We present an extensive evaluation study of the performance peaks and scalability of these two modern architectures using SPEC OMP benchmarks.

【 授权许可】

Unknown