Publications
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Filters: Keyword is sparse linear systems and Author is Hartwig Anzt [Clear All Filters]
“Batched Gauss-Jordan Elimination for Block-Jacobi Preconditioner Generation on GPUs,”
Proceedings of the 8th International Workshop on Programming Models and Applications for Multicores and Manycores, New York, NY, USA, ACM, pp. 1–10, February 2017.
(552.62 KB)
(552.62 KB)
“Adaptive Precision in Block-Jacobi Preconditioning for Iterative Sparse Linear System Solvers,”
Concurrency and Computation: Practice and Experience, vol. 31, no. 6, pp. e4460, March 2019.
(341.54 KB)
(341.54 KB)
“Fine-grained Bit-Flip Protection for Relaxation Methods,”
Journal of Computational Science, November 2016.
(1.47 MB)
(1.47 MB)
“Improving the Energy Efficiency of Sparse Linear System Solvers on Multicore and Manycore Systems,”
Philosophical Transactions of the Royal Society A -- Mathematical, Physical and Engineering Sciences, vol. 372, issue 2018, July 2014.
(779.57 KB)
(779.57 KB)
“Variable-Size Batched Gauss-Jordan Elimination for Block-Jacobi Preconditioning on Graphics Processors,”
Parallel Computing, vol. 81, pp. 131-146, January 2019.
(1.9 MB)
(1.9 MB)
