Publications
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Filters: Author is Hartwig Anzt [Clear All Filters]
Ginkgo: A Node-Level Sparse Linear Algebra Library for HPC (Poster)
, Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.
(699 KB)

Preconditioned Krylov Solvers on GPUs,”
Parallel Computing, June 2017.
(1.19 MB)
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A Block-Asynchronous Relaxation Method for Graphics Processing Units,”
University of Tennessee Computer Science Technical Report, no. UT-CS-11-687 / LAWN 258, November 2011.
(1.08 MB)
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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)
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Optimization and Performance Evaluation of the IDR Iterative Krylov Solver on GPUs,”
The International Journal of High Performance Computing Applications, vol. 32, no. 2, pp. 220–230, March 2018.
(2.08 MB)
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Adaptive Precision Solvers for Sparse Linear Systems,”
3rd International Workshop on Energy Efficient Supercomputing (E2SC '15), Austin, TX, ACM, November 2015.
“Towards a New Peer Review Concept for Scientific Computing ensuring Technical Quality, Software Sustainability, and Result Reproducibility,”
Proceedings in Applied Mathematics and Mechanics, vol. 19, issue 1, November 2019.
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