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

Conference · Fri Jan 01 00:00:00 EST 2016

OSTI ID:1319216

Mintz, Tiffany M ^[1]; D'Azevedo, Eduardo F. ^[2]; Gorentla Venkata, Manjunath ^[1]; Hsu, Chung-Hsing ^[1]

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1. ORNL
2. Oak Ridge National Laboratory (ORNL)

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.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: Work for Others (WFO)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1319216
• Resource Relation: Conference: OpenSHMEM Workshop, Baltimore, MD, USA, 20160802, 20160804
• Country of Publication: United States
• Language: English