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Design fast matrix algorithms on high-performance cloud platforms
Conference paper

Design fast matrix algorithms on high-performance cloud platforms

Quey-Liang Kao and Che-Rung Lee
CloudCom 2012 - Proceedings: 2012 4th IEEE International Conference on Cloud Computing Technology and Science, pp.771-776
2012

Abstract

GPU High Performance Cloud Computing Matrix Multiplication Strassen
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. © 2012 IEEE.

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