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Modeling power and energy of the task-parallel Cholesky factorization on multicore processors., , , and . Comput. Sci. Res. Dev., 29 (2): 105-112 (2014)Improving the user experience of the rCUDA remote GPU virtualization framework., , , , , , and . Concurr. Comput. Pract. Exp., 27 (14): 3746-3770 (2015)Out-of-core macromolecular simulations on multithreaded architectures., , , , , and . Concurr. Comput. Pract. Exp., 27 (6): 1540-1550 (2015)Enhancing performance and energy consumption of runtime schedulers for dense linear algebra., , , , and . Concurr. Comput. Pract. Exp., 26 (15): 2591-2611 (2014)DMR API: Improving cluster productivity by turning applications into malleable., , , , and . Parallel Comput., (2018)A complete and efficient CUDA-sharing solution for HPC clusters., , , , , and . Parallel Comput., 40 (10): 574-588 (2014)PhyloGrid: a development for a workflow in Phylogeny, , and . CoRR, (2010)DMRlib: Easy-Coding and Efficient Resource Management for Job Malleability., , , and . IEEE Trans. Computers, 70 (9): 1443-1457 (2021)An Efficient Implementation of GPU Virtualization in High Performance Clusters., , , , , and . Euro-Par Workshops, volume 6043 of Lecture Notes in Computer Science, page 385-394. Springer, (2009)Influence of InfiniBand FDR on the performance of remote GPU virtualization., , , , , and . CLUSTER, page 1-8. IEEE Computer Society, (2013)