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Using graphics processors to accelerate the computation of the matrix inverse., , and . J. Supercomput., 58 (3): 429-437 (2011)Efficient Algorithms for the Block Hessenberg Form., , , and . J. Supercomput., 20 (1): 55-66 (2001)Efficient and portable Winograd convolutions for multi-core processors., , , , and . J. Supercomput., 79 (10): 10589-10610 (July 2023)High performance computing tools in science and engineering., , and . J. Supercomput., 58 (2): 143-144 (2011)Reducing the cost of power monitoring with DC wattmeters., , , and . Comput. Sci. Res. Dev., 30 (2): 107-114 (2015)Automatic detection of power bottlenecks in parallel scientific applications., , , , and . Comput. Sci. Res. Dev., 29 (3-4): 221-229 (2014)DVFS-control techniques for dense linear algebra operations on multi-core processors., , , , and . Comput. Sci. Res. Dev., 27 (4): 289-298 (2012)A Runtime System for Programming Out-of-Core Matrix Algorithms-by-Tiles on Multithreaded Architectures., , , , and . ACM Trans. Math. Softw., 38 (4): 25:1-25:25 (2012)Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing., , , , , , , , and . ACM Trans. Math. Softw., 48 (1): 2:1-2:33 (2022)Accumulating Householder transformations, revisited., , , , and . ACM Trans. Math. Softw., 32 (2): 169-179 (2006)