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2008
IEEE

Benchmarking the effects of operating system interference on extreme-scale parallel machines

9 years 3 months ago
Benchmarking the effects of operating system interference on extreme-scale parallel machines
We investigate operating system noise, which we identify as one of the main reasons for a lack of synchronicity in parallel applications. Using a microbenchmark, we measure the noise on several contemporary platforms and find that, even with a general-purpose operating system, noise can be limited if certain precautions are taken. We then inject artificially generated noise into a massively parallel system and measure its influence on the performance of collective operations. Our experiments indicate that on extreme-scale platforms, the performance is correlated with the largest interruption to the application, even if the probability of such an interruption on a single process is extremely small. We demonstrate that synchronizing the noise can significantly reduce its negative influence.
Peter H. Beckman, Kamil Iskra, Kazutomo Yoshii, Su
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2008
Where CLUSTER
Authors Peter H. Beckman, Kamil Iskra, Kazutomo Yoshii, Susan Coghlan, Aroon Nataraj
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