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Title: Application Power Signature Analysis

The high-performance computing (HPC) community has been greatly concerned about energy efficiency. To address this concern, it is essential to understand and characterize the electrical loads of HPC applications. In this work, we study whether HPC applications can be distinguished by their power-consumption patterns using quantitative measures in an automatic manner. Using a collection of 88 power traces from 4 different systems, we find that basic statistical measures do a surprisingly good job of summarizing applications' distinctive power behavior. Moreover, this study opens up a new area of research in power-aware HPC that has a multitude of potential applications.
 [1] ;  [2] ;  [2] ;  [2] ;  [2] ;  [2] ;  [1]
  1. ORNL
  2. Sonoma State University
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Conference: The 10th Workshop on High-Performance, Power-Aware Computing (HPPAC 2014), Phoenix, AZ, USA, 20140519, 20140519
Research Org:
Oak Ridge National Laboratory (ORNL)
Sponsoring Org:
ORNL work for others
Country of Publication:
United States