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Opportunities and Challenges for Parallel Computing in Science and Engineering.

, , and . Parallel Processing for Scientific Computing, volume 20 of Software, Environments, Tools, SIAM, (2006)

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Scalable Preconditioning Using Incomplete Factors., , and . PPSC, (2001)Parallel Hybrid Sparse Solvers Through Flexible Incomplete Cholesky Preconditioning., and . PARA, volume 3732 of Lecture Notes in Computer Science, page 637-643. Springer, (2004)Can models of scientific software-hardware interactions be predictive?, , and . ICCS, volume 4 of Procedia Computer Science, page 322-331. Elsevier, (2011)Characterizing the impact of soft errors on iterative methods in scientific computing., , and . ICS, page 152-161. ACM, (2011)Fault tolerant preconditioned conjugate gradient for sparse linear system solution., , and . ICS, page 69-78. ACM, (2012)Speedup-Aware Co-Schedules for Efficient Workload Management., , and . Parallel Process. Lett., (2013)Performance of Greedy Ordering Heuristics for Sparse Cholesky Factorization., and . SIAM J. Matrix Anal. Appl., 20 (4): 902-914 (1999)Opportunities and Challenges for Parallel Computing in Science and Engineering., , and . Parallel Processing for Scientific Computing, volume 20 of Software, Environments, Tools, SIAM, (2006)An embedded sectioning scheme for multiprocessor topology-aware mapping of irregular applications., , and . Int. J. High Perform. Comput. Appl., 31 (1): 91-103 (2017)Exploiting dense substructures for fast sparse matrix vector multiplication., , and . Int. J. High Perform. Comput. Appl., 25 (3): 328-341 (2011)