A survey on evaluating and optimizing performance of Intel Xeon Phi

Mittal, Sparsh

doi:10.1002/cpe.5742

Cited by 4 publications

(1 citation statement)

References 91 publications

(307 reference statements)

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“…evaluated several scientific applications on the intel Xeon Phi arch [43]. Sparsh Mittal surveyed studies of the Phi architecture and use it as an accelerator for a broad range of applications [44]. None of these studies used the spec omp benchmark suite.…”

Section: Related Workmentioning

confidence: 99%

Performance Evaluation of Massively Parallel Systems Using SPEC OMP Suite

Mustafa

2022

Computers

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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.

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Section: Related Workmentioning

confidence: 99%