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SCHEDULE: NOV 15-20, 2015
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A Case for Application-Oblivious Energy-Efficient MPI Runtime
SESSION: MPI/Communication
EVENT TYPE: Papers, Best Student Paper Finalists
EVENT TAG(S): Power, System Software, Clouds and Distributed Computing, Resiliency
TIME: 3:30PM - 4:00PM
SESSION CHAIR(S): Yong Chen
AUTHOR(S):Akshay Venkatesh, Abhinav Vishnu, Khaled Hamidouche, Nathan Tallent, Dhabaleswar Panda, Darren Kerbyson, Adolfy Hoisie
ROOM:18CD
ABSTRACT:
Power has become the major impediment in designing large scale high-end systems and runtime systems like Message Passing Interface (MPI) that serve as the communication back-end for designing applications and programming models must be made power cognizant. Slack within an MPI call provides a potential for energy and power savings, if an appropriate power reduction technique such as core-idling/DVFS can be applied without perturbing application's execution time. This paper proposes and implements Energy Aware MPI (EAM) runtime that proves itself energy-efficient in an application-oblivious manner. EAM uses a combination of communication models of common MPI primitives and an online observation of slack for maximizing energy efficiency. We implement EAM using MVAPICH2 and evaluate it on ten applications using up to 4096 processes. Our performance evaluation on an InfiniBand cluster indicates that EAM can reduce energy consumption by 5-41% in comparison to the default approach, with negligible (< 4%) performance loss.
Chair/Author Details:
Yong Chen (Chair) - Texas Tech University|
Akshay Venkatesh - Ohio State University
Abhinav Vishnu - Pacific Northwest National Laboratory
Khaled Hamidouche - Ohio State University
Nathan Tallent - Pacific Northwest National Laboratory
Dhabaleswar Panda - Ohio State University
Darren Kerbyson - Pacific Northwest National Laboratory
Adolfy Hoisie - Pacific Northwest National Laboratory
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