DocumentCode
656223
Title
Analytical Energy Models for MPI Communications on a Sandy-Bridge Architecture
Author
Almeida, Felipe ; Blanco, V. ; Gonzalez, Ivan ; Cabrera, Ana ; Gimenez, D.
Author_Institution
Dept. Estadistica, I.O. y Comput., Univ. de La Laguna, La Laguna, Spain
fYear
2013
fDate
1-4 Oct. 2013
Firstpage
868
Lastpage
876
Abstract
Complexity in parallel computation for current HPC systems has being modeled in order to estimate time and energy consumption, which have been conduced to evaluate real costs. Communication analytical models for time and energy comsumption are an attractive issue as part of this cost analysis in parallel computation. In this paper, we present time and energy analytical models for MPI communications using OSU micro benchmarks under Sandy Bridge-EP computer architecture. RAPL (Running Average Power Limit) interface has been setup to provide mechanisms to enforce real energy consumption measurements for OSU micro benchmarks on this architecture. Our applied methodology defines an experimental framework based on several core configurations and different transmission rates. The RAPL interface allows us to obtain different energy values for the OSU benchmark executions. The measures obtained are used to obtain time and energy consumption parameters of our models, establishing average errors below 1% for almost all configurations in real executions under this computer architecture for an ad-hoc model. Alternative and simpler time and energy models are also proposed with errors up to 3.1% for the worst case.
Keywords
computational complexity; energy consumption; message passing; parallel processing; power aware computing; HPC systems; MPI communications; OSU microbenchmarks; RAPL interface; Sandy Bridge-EP computer architecture; ad-hoc model; analytical energy models; energy comsumption; parallel computation complexity; running average power limit; transmission rates; Analytical models; Computational modeling; Current measurement; Energy measurement; Hardware; Microarchitecture; Sockets; Energy models; Energy-efficent algorithms; MPI communications; Multicore systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel Processing (ICPP), 2013 42nd International Conference on
Conference_Location
Lyon
ISSN
0190-3918
Type
conf
DOI
10.1109/ICPP.2013.103
Filename
6687427
Link To Document