coordinated energy management in heterogeneous processors

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ID: 241699
2014
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Abstract
This paper examines energy management in a heterogeneous processor consisting of an integrated CPU–GPU for high-performance computing (HPC) applications. Energy management for HPC applications is challenged by their uncompromising performance requirements and complicated by the need for coordinating energy management across distinct core types – a new and less understood problem. We examine the intra-node CPU–GPU frequency sensitivity of HPC applications on tightly coupled CPU–GPU architectures as the first step in understanding power and performance optimization for a heterogeneous multi-node HPC system. The insights from this analysis form the basis of a coordinated energy management scheme, called DynaCo, for integrated CPU–GPU architectures. We implement DynaCo on a modern heterogeneous processor and compare its performance to a state-of-the-art power- and performance-management algorithm. DynaCo improves measured average energy-delay squared (ED2) product by up to 30% with less than 2% average performance loss across several exascale and other HPC workloads.
Reference Key
paul2014scientificcoordinated Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Indrani Paul, Vignesh Ravi, Srilatha Manne, Manish Arora, Sudhakar Yalamanchili
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Journal environmental pollution
Year 2014
DOI
10.3233/SPR-140380
URL
http://dx.doi.org/10.3233/SPR-140380
Keywords
computer software

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