Publications

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Filters: Keyword is lacsi and Author is Zizhong Chen  [Clear All Filters]
2005
Chen, Z., and J. Dongarra, “Condition Numbers of Gaussian Random Matrices,” SIAM Journal on Matrix Analysis and Applications (to appear), January 2005.  (186.46 KB)
Chen, Z., G. Fagg, E. Gabriel, J. Langou, T. Angskun, G. Bosilca, and J. Dongarra, “Fault Tolerant High Performance Computing by a Coding Approach,” Proceedings of ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (to appear), Chicago, Illinois, January 2005.  (209.37 KB)
Chen, Z., and J. Dongarra, “Numerically Stable Real Number Codes Based on Random Matrices,” The International Conference on Computational Science, Atlanta, GA, LNCS 3514, Springer-Verlag, January 2005.  (166.2 KB)
2004
Fagg, G., E. Gabriel, G. Bosilca, T. Angskun, Z. Chen, J. Pjesivac–Grbovic, K. London, and J. Dongarra, “Extending the MPI Specification for Process Fault Tolerance on High Performance Computing Systems,” Proceedings of ISC2004 (to appear), Heidelberg, Germany, June 2004.  (548.38 KB)
Chen, Z., J. Dongarra, P. Luszczek, and K. Roche, “LAPACK for Clusters Project: An Example of Self Adapting Numerical Software,” Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS 04'), vol. 9, Big Island, Hawaii, pp. 90282, January 2004.  (80.97 KB)
Fagg, G., E. Gabriel, Z. Chen, T. Angskun, G. Bosilca, J. Pjesivac–Grbovic, and J. Dongarra, “Process Fault-Tolerance: Semantics, Design and Applications for High Performance Computing,” International Journal for High Performance Applications and Supercomputing (to appear), April 2004.  (186.9 KB)
2003
Fagg, G., E. Gabriel, Z. Chen, T. Angskun, G. Bosilca, A. Bukovsky, and J. Dongarra, “Fault Tolerant Communication Library and Applications for High Performance Computing,” Los Alamos Computer Science Institute (LACSI) Symposium 2003 (presented), Santa Fe, NM, October 2003.  (146.05 KB)
Chen, Z., J. Dongarra, P. Luszczek, and K. Roche, “Self Adapting Software for Numerical Linear Algebra and LAPACK for Clusters (LAPACK Working Note 160),” University of Tennessee Computer Science Technical Report, UT-CS-03-499, January 2003.  (343.44 KB)
Chen, Z., J. Dongarra, P. Luszczek, and K. Roche, “Self Adapting Software for Numerical Linear Algebra and LAPACK for Clusters,” Parallel Computing, vol. 29, no. 11-12, pp. 1723-1743, November 2003.  (343.44 KB)