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Exploiting variability for energy optimization of parallel programs
2016
Proceedings of the Eleventh European Conference on Computer Systems - EuroSys '16
In this paper we present optimizations that use DVFS mechanisms to reduce the total energy usage in scientific applications. Our main insight is that noise is intrinsic to large scale parallel executions and it appears whenever shared resources are contended. The presence of noise allows us to identify and manipulate any program regions amenable to DVFS. When compared to previous energy optimizations that make per core decisions using predictions of the running time, our scheme uses a
doi:10.1145/2901318.2901329
dblp:conf/eurosys/LavrijsenIJCS16
fatcat:kh3p5fzmqff3pkqelrjisuw724