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author:

Lin, J. (Lin, J..) [1] | Chen, Y. (Chen, Y..) [2]

Indexed by:

Scopus

Abstract:

With the development of GPU, the GPU's float-point computing capacity improves rapidly. How to apply the float-point ability of GPU to the non-graphic computing field becomes a highlight in the research of high performance computing. Jacobi is a typical application in scientific computing. This paper designs and implements Jacobi Algorithm on Nvidia's CUDA platform and gets a good speedup compared with the CPU. © 2010 IEEE.

Keyword:

GPU; HPC; Jacobi algorithms

Community:

  • [ 1 ] [Lin, J.]Network Information Center, Fuzhou University, Fuzhou, Fujian, China
  • [ 2 ] [Chen, Y.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian, China

Reprint 's Address:

  • [Lin, J.]Network Information Center, Fuzhou University, Fuzhou, Fujian, China

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Related Article:

Source :

Proceedings - International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010

Year: 2010

Volume: 1

Page: 448-450

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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