Abstract
Some testing results on DAWNING-1000, Paragon and workstation cluster are described in this paper. On the home-made parallel system DAWNING-1000 with 32 computational processors, the practical performance of 1.117 Gflops and 1.58 Gflops has been measured in solving a dense linear system and doing matrix multiplication, respectively. The scalability is also investigated. The importance of designing efficient parallel algorithms for evaluating parallel systems is emphasized.
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This work was supported by National 863 High-Tech Programme.
Sun Jiachang, Professor of the Institute of Software, Chinese Academy of Sciences, graduated in 1964 from the Chinese University of Science & Technology. His major research area is high performance computing and parallel software.
Chi Xuebin, Associate Professor of Institute of Software, Chinese Academy of Sciences, graduated in 1983 from Jilin University of Technology and got his Ph.D. degree in 1989 from Computing Center of Chinese Academy of Sciences. His major research area is parallel computing on linear algebra problem and nonlinear equations.
Cao Jianwen, Resarcher Assistant of Institute of Software, Chinese Academy of Sciences, graduated in 1991 from Peking University and got his M.S. degree in 1994 from Computing Center of Chinese Academy of Sciences. His major research area is parallel iteration computing on nonsymmetric linear system and eigenvalue problem.
Zhang Linbo, Professor of Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of Sciences, graduated in 1982 from Peking University and got his Ph.D. degree in 1987 from University of Paris-sud. His major research area is computational fluid dynamics and parallel computing.
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Sun, J., Chi, X., Cao, J. et al. Parallel algorithm design on some distributed systems. J. of Comput. Sci. & Technol. 12, 97–104 (1997). https://doi.org/10.1007/BF02951328
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DOI: https://doi.org/10.1007/BF02951328