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Frontiers of Scientific Computing: An Overview.

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

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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)Fault tolerant preconditioned conjugate gradient for sparse linear system solution., , and . ICS, page 69-78. ACM, (2012)Characterizing the impact of soft errors on iterative methods in scientific computing., , and . ICS, page 152-161. ACM, (2011)Scalable Preconditioning Using Incomplete Factors., , and . PPSC, (2001)Can models of scientific software-hardware interactions be predictive?, , and . ICCS, volume 4 of Procedia Computer Science, page 322-331. Elsevier, (2011)Parallel Hybrid Sparse Solvers Through Flexible Incomplete Cholesky Preconditioning., and . PARA, volume 3732 of Lecture Notes in Computer Science, page 637-643. Springer, (2004)Speedup-Aware Co-Schedules for Efficient Workload Management., , and . Parallel Process. Lett., (2013)Adapting application execution in CMPs using helper threads., , , and . J. Parallel Distributed Comput., 69 (9): 790-806 (2009)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)