Modeling and Estimation for the Power Consumption of Matrix Computation on Multi-core Platform

Author

Ren, Da Qi ; Suda, Reiji

Author_Institution

Dept. of Comput. Sci., Univ. of Tokyo, Tokyo, Japan

Volume

1

fYear

2009

fDate

24-26 April 2009

Firstpage

42

Lastpage

46

Abstract

We model and estimate the power consumption of large-scale matrix multiplication by including the most basic power parameters in the parallel algorithm analysis. The matrix multiplication program has been designed based on multi-core frameworks. A Bridging Model (BM) is employed to incorporate the numerical parameters of ultimate physical constraints from power-relevant components and coarse-grained features of the multi-core platform. Consequently the power consumption is predicted by calculating the timing and power factors in the performance analysis equation. The power model and estimation results are validated by measuring the program running on real systems.

Keywords

multiprocessing systems; numerical analysis; parallel algorithms; power consumption; power factor; bridging model; coarse-grained features; matrix computation; matrix multiplication program; multicore platform; numerical parameters; parallel algorithm analysis; performance analysis equation; power consumption; power factors; power-relevant components; ultimate physical constraints; Algorithm design and analysis; Energy consumption; Equations; Large-scale systems; Parallel algorithms; Performance analysis; Power measurement; Power system modeling; Reactive power; Timing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on

Conference_Location

Sanya, Hainan

Print_ISBN

978-0-7695-3605-7

Type

conf

DOI

10.1109/CSO.2009.451

Filename

5193639