sponsored byIEEEACMThe International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 16-21, 2014

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Analysis of Energy and Power Consumption by Remote Data Transfers in Distributed Programming Models

SESSION: ACM Student Research Competition Poster Reception

EVENT TYPE: ACM Student Research Competition

TIME: 5:15PM - 7:00PM

AUTHOR(S):Siddhartha Jana

ROOM:New Orleans Theater Lobby


Recent studies of the challenges facing the Extremescale era express a need for understanding the impact on energy profile of applications due to inter-process communication on large-scale systems. Programming models like MPI provide the user with explicit interfaces to initiate data-transfers among distributed processes.

This poster presents empirical evidence that: controllable factors like the size of the data-payload to be transferred and the number of explicit calls used to service such transfers have a direct impact on the power signatures of communication kernels. Moreover, the choice of the transport layer (along with the associated interconnect) and the design of the inter-process communication protocol are responsible for these signatures. Results discussed in this poster motivate the incorporation of energy-based metrics for fine tuning communication libraries that target Extremescale machines.

Chair/Author Details:

Siddhartha Jana - University of Houston

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