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A Technique for Accelerating the Convergence of Restarted GMRES.

, , and . SIAM J. Matrix Analysis Applications, 26 (4): 962-984 (2005)

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Understanding memory effects in the automated generation of optimized matrix algebra kernels., , , , and . ICCS, volume 1 of Procedia Computer Science, page 1873-1881. Elsevier, (2010)On Improving Linear Solver Performance: A Block Variant of GMRES., , and . SIAM J. Scientific Computing, 27 (5): 1608-1626 (2006)Making root cause analysis feasible for large code bases: a solution approach for a climate model., , , , , and . CoRR, (2018)Toward Memory-Efficient Linear Solvers., , and . VECPAR, volume 2565 of Lecture Notes in Computer Science, page 315-327. Springer, (2002)Toward an Efficient Parallel Eigensolver for Dense Symmetric Matrices., , and . SIAM J. Scientific Computing, 20 (3): 1132-1154 (1998)Parallel Factorization of Structured Matrices Arising in Stochastic Programming., , and . SIAM Journal on Optimization, 4 (4): 833-846 (1994)Parallel memory prediction for fused linear algebra kernels., , , and . SIGMETRICS Performance Evaluation Review, 38 (4): 43-49 (2011)Matrices, Vector Spaces, and Information Retrieval., , and . SIAM Review, 41 (2): 335-362 (1999)Generating Empirically Optimized Composed Matrix Kernels from MATLAB Prototypes., , , and . ICCS (1), volume 5544 of Lecture Notes in Computer Science, page 248-258. Springer, (2009)Task Parallelism: What a Tool Can Provide and What Should Be Left to the User., and . Euro-Par, Vol. I, volume 1123 of Lecture Notes in Computer Science, page 151-154. Springer, (1996)