sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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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


AUTHOR(S):Akshay Venkatesh, Abhinav Vishnu, Khaled Hamidouche, Nathan Tallent, Dhabaleswar Panda, Darren Kerbyson, Adolfy Hoisie



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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Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society