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Announcement:
Research Assistant positions are available in high performance computing (HPC) for Ph.D. dissertation students. I also enjoy working with well motivated graduate and undergraduate students on other projects related to HPC. If you are interested in HPC, feel free to contact me.
Biography
Zizhong Chen is an Assistant Professor of Computer Science at
Colorado School of Mines.
His research interests include high performance computing, fault tolerance and checkpointing, parallel, distributed, grid, and cloud computing, random matrices, real number error/erasure correcting codes, numerical linear algebra algorithms and software, and computational science and engineering. The goal of his research is to develop techniques, design algorithms, and build software tools for computational science applications to achieve both high performance and high reliability on a wide range of computational platforms.
Education
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Ph.D. in Computer Science, The University of Tennessee, Knoxville,
Advisor: Jack Dongarra, 2006.
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M.A. in Economics, Renmin University of China, P. R. China, 2000.
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B.S. in Mathematics, Beijing Normal University, P. R. China, 1997.
Selected Honors and Awards
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Outstanding Leadership Award, IEEE HPCC-09 Conference, 2009.
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Distinguished Research Award, Jacksonville State University, 2008.
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Faculty Research Award, Jacksonville State University, 2007.
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Best Paper Award, The 19th International Supercomputer Conference, 2004.
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Science Alliance Award, The University of Tennessee, Knoxville, 2000.
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Jiuzhang Mathematical Award, Beijing Normal University, P. R. China, 1996.
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Champion, Mathematics Competition, Beijing Normal University, P. R. China, 1995.
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"Optimal Real Number Codes for Fault Tolerant Matrix Operations."
Zizhong Chen.
Proceedings of the ACM/IEEE SC09 Conference,
Portland, OR, November 14-20, 2009.
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"Highly Scalable Self-Healing Algorithms for High Performance Scientific Computing."
Zizhong Chen and Jack Dongarra.
IEEE Transactions on Computers.
Vol. 58, No. 11, November, 2009.
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"Algorithm-Based Fault Tolerance for Fail-Stop Failures."
Zizhong Chen and Jack Dongarra.
IEEE Transactions on Parallel and Distributed Systems,
Vol. 19, No. 12, December, 2008.
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"Condition Numbers of Gaussian Random Matrices."
Zizhong Chen and Jack Dongarra.
SIAM Journal on Matrix Analysis and Applications,
Volume 27, Number 3, Page 603-620, 2005.
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"Self Adapting Software for Numerical Linear Algebra and LAPACK for Clusters."
Zizhong Chen, Jack Dongarra, Piotr Luszczek, and Kenneth Roche.
Parallel Computing, Volume 29, Number 11-12, Page 1723-1743,
November-December, 2003.
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