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A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs.

, , , and . IPDPS, page 483-493. IEEE, (2020)

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A Light Framework for the Unified Representation and Execution of Variant Tasks in a Grid Based Environment., , , and . PDPTA, page 658-664. CSREA Press, (2010)Optimization of parallel Genetic Algorithms for nVidia GPUs., , , and . IEEE Congress on Evolutionary Computation, page 803-811. IEEE, (2011)Myths and Legends in High-Performance Computing., , , , and . CoRR, (2023)KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training., , , , and . CoRR, (2023)Hierarchical Distributed-Memory Multi-Leader MPI-Allreduce for Deep Learning Workloads., , and . CANDAR Workshops, page 216-222. IEEE Computer Society, (2018)A General Service-Oriented Grid Computing Framework for Global Optimization Problem Solving., , , and . IEEE SCC (2), page 563-566. IEEE Computer Society, (2008)An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks., , , , , and . HPDC, page 161-173. ACM, (2021)A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing., , , and . HPCC, page 897-902. IEEE Computer Society, (2008)Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws?, , , , , , , , , and 1 other author(s). IPDPS, page 1056-1065. IEEE, (2021)Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction., , , , , , , and . SC, page 8:1-8:13. IEEE, (2022)