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Power-aware computing: Measurement, control, and performance analysis for Intel Xeon Phi.

, , , , , and . HPEC, page 1-7. IEEE, (2017)

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Model-Driven One-Sided Factorizations on Multicore Accelerated Systems., , , , , and . Supercomput. Front. Innov., 1 (1): 85-115 (2014)Weighted dynamic scheduling with many parallelism grains for offloading of numerical workloads to multiple varied accelerators., , , , , and . ScalA@SC, page 5:1-5:8. ACM, (2015)Power-aware computing: Measurement, control, and performance analysis for Intel Xeon Phi., , , , , and . HPEC, page 1-7. IEEE, (2017)SLATE: design of a modern distributed and accelerated linear algebra library., , , , and . SC, page 26:1-26:18. ACM, (2019)Least squares solvers for distributed-memory machines with GPU accelerators., , , , and . ICS, page 117-126. ACM, (2019)Portable and Efficient Dense Linear Algebra in the Beginning of the Exascale Era., , , , , , , , and . P3HPC@SC, page 36-46. IEEE, (2022)Unified Development for Mixed Multi-GPU and Multi-coprocessor Environments Using a Lightweight Runtime Environment., , , , , , and . IPDPS, page 491-500. IEEE Computer Society, (2014)Linear Systems Solvers for Distributed-Memory Machines with GPU Accelerators., , , , , and . Euro-Par, volume 11725 of Lecture Notes in Computer Science, page 495-506. Springer, (2019)Flexible Linear Algebra Development and Scheduling with Cholesky Factorization., , , , , and . HPCC/CSS/ICESS, page 861-864. IEEE, (2015)VGrADS: enabling e-Science workflows on grids and clouds with fault tolerance., , , , , , , , , and 2 other author(s). SC, ACM, (2009)