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Acceleration of GPU-based Krylov solvers via data transfer reduction., , , , and . Int. J. High Perform. Comput. Appl., 29 (3): 366-383 (2015)Evaluating asynchronous Schwarz solvers on GPUs., , and . Int. J. High Perform. Comput. Appl., (2021)Energy efficiency of mixed precision iterative refinement methods using hybrid hardware platforms - An evaluation of different solver and hardware configurations., , and . Comput. Sci. Res. Dev., 25 (3-4): 141-148 (2010)A unified energy footprint for simulation software., , , , , and . Comput. Sci. Res. Dev., 29 (2): 131-138 (2014)A customized precision format based on mantissa segmentation for accelerating sparse linear algebra., , , , and . Concurr. Comput. Pract. Exp., (2020)Evaluating the Performance of NVIDIA's A100 Ampere GPU for Sparse Linear Algebra Computations., , and . CoRR, (2020)Evaluating the Performance of NVIDIA's A100 Ampere GPU for Sparse and Batched Computations., , , , and . PMBS@SC, page 26-38. IEEE, (2020)Variable-size batched Gauss-Jordan elimination for block-Jacobi preconditioning on graphics processors., , , and . Parallel Comput., (2019)An Environment for Sustainable Research Software in Germany and Beyond: Current State, Open Challenges, and Call for Action., , , , , , , , , and 33 other author(s). CoRR, (2020)Acceleration of PageRank with Customized Precision Based on Mantissa Segmentation., , , , and . ACM Trans. Parallel Comput., 7 (1): 4:1-4:19 (2020)