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Title: Investigating Data Motion Power Trends to Enable Power-Efficient OpenSHMEM Implementations

As we continue to develop extreme-scale systems, it is becoming increasingly important to be mindful and more in control of power consumed by these systems. With high performance requirements being more constrained by power and data movement quickly becoming the critical concern for both power and performance, now is an opportune time for OpenSHMEM implementations to address the need for more power-efficient data movement. In order to enable power efficient OpenSHMEM implementations, we have formulated power trend studies that emphasize power consumption for one-sided communications and the disparities in power consumption across multiple implementations. In this paper, we present power trend analysis, generate targeted hypotheses for increasing power efficiency with OpenSHMEM, and discuss prospective research for power efficient OpenSHMEM implementations.
 [1] ;  [2] ;  [1] ;  [1]
  1. ORNL
  2. Oak Ridge National Laboratory (ORNL)
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OSTI Identifier:
DOE Contract Number:
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Resource Relation:
Conference: OpenSHMEM Workshop, Baltimore, MD, USA, 20160802, 20160804
Research Org:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
ORNL work for others
Country of Publication:
United States