Jun 24, 2016 · The authors in [3] examine how co-locating multiple applications on a single multicore processor affects performance. However, their work ...
Dec 1, 2016 · This work investigates some of the disadvantages of co-location, and presents a methodology for building models capable of utilizing varying amounts of ...
Unfortunately, applications co-located on multicore processors can suffer from decreased performance and increased dynamic energy use as a result of ...
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Bibliographic details on HPC node performance and energy modeling with the co-location of applications.
Dec 2, 2016 · We investigate both how to better characterize and model the negative effects that system failures have on large-scale computing systems, as ...
Siegel, "HPC Node Performance and Energy Modeling with the Co-Location of Applications," Journal of Supercomputing,, Vol. 72, No. 12, pp. 4771-4809, Nov ...
Co-location, where multiple jobs share compute nodes in large-scale HPC systems, has been shown to increase aggregate throughput and energy efficiency by 10--20 ...
"HPC Node Performance and Energy Modeling with the Co-Location of Applications." ... “A methodology for co-location aware application performance modeling ...
Mar 16, 2021 · In this paper, we show that server efficiency can be improved by first modeling the expected performance degradation of colocated applications ...