DocumentCode :
3193188
Title :
Design fast matrix algorithms on high-performance cloud platforms
Author :
Quey-Liang Kao ; Che-Rung Lee
Author_Institution :
Nat. Tsing Hua Univ., Hsinchu, Taiwan
fYear :
2012
fDate :
3-6 Dec. 2012
Firstpage :
771
Lastpage :
776
Abstract :
The low cost and high availability properties of cloud computing make it an attractive solution to not only service-oriented computing, but also to high performance applications. Many of those services and applications entail matrix computations, whose design and performance optimization for cloud platforms haven´t been fully studied. Although there is no concrete definition of what a cloud platform should be, especially for high performance purpose, it is believed a heterogeneous computing environment that equips with multicore processors and multiple accelerators is the trend of future high performance cloud architecture. In this paper, a preliminary research on fast matrix multiplication algorithm on multi-GPU is presented, accompanied with a list of future research plans on design fast matrix algorithms on high performance cloud platforms.
Keywords :
cloud computing; graphics processing units; matrix multiplication; multiprocessing systems; optimisation; parallel processing; service-oriented architecture; cloud computing availability properties; fast matrix multiplication algorithm; heterogeneous computing environment; high performance applications; high performance cloud architecture; high-performance cloud platforms; matrix computations; multiGPU; multicore processor; multiple accelerators; performance optimization; service-oriented computing; Algorithm design and analysis; Cloud computing; Conferences; Graphics processing units; Matrix decomposition; Partitioning algorithms; Tuning; GPU; High Performance Cloud Computing; Matrix Multiplication; Strassen;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4673-4511-8
Electronic_ISBN :
978-1-4673-4509-5
Type :
conf
DOI :
10.1109/CloudCom.2012.6427556
Filename :
6427556
Link To Document :
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