A Survey About Quantitative Measurement of Performance Variability in High Performance Computers

Wu, Lexiang; Xu, Xinhai; Wei, Yong Jie; Liu, Xu

doi:10.1007/978-3-319-67952-5_7

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2019

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“…These can be due to upgrades of system software, changes in job placement policy or due to a different amount of interference by other jobs on the system. Explaining and documenting all of these may be rather difficult -in particular in cases where a benchmark is run by a user interested in the application rather than a computer scientist or system administrator [6,37]. Figure 1 demonstrates runtime variability when running fast Fourier Transform programs [9,10] for solving the Navier-Stokes equations on Hazelhen and Shaheen II.…”

Section: Lessons Learnedmentioning

confidence: 99%

Reproducibility in Benchmarking Parallel Fast Fourier Transform based Applications

Aseeri

Muite

Takahashi

2019

Companion of the 2019 ACM/SPEC International Conference on Performance Engineering

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An overview of concerns observed in allowing for reproducibility in parallel applications that heavily depend on the three dimensional distributed memory fast Fourier transform are summarized. Suggestions for reproducibility categories for benchmark results are given. CCS CONCEPTS• Mathematics of computing → Computation of transforms;• Theory of computation → Massively parallel algorithms;• Software and its engineering → Software performance; • Hardware → Testing with distributed and parallel systems.

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Section: Lessons Learnedmentioning

confidence: 99%