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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)

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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)Structured Adaptive Mesh Refinement Adaptations to Retain Performance Portability With Increasing Heterogeneity., , , , , and . Comput. Sci. Eng., 23 (5): 62-66 (2021)Myths and Legends in High-Performance Computing., , , , and . CoRR, (2023)KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training., , , , and . CoRR, (2023)A computational-graph partitioning method for training memory-constrained DNNs., , , , and . Parallel Comput., (2021)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)A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing., , , and . HPCC, page 897-902. 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)Hierarchical Distributed-Memory Multi-Leader MPI-Allreduce for Deep Learning Workloads., , and . CANDAR Workshops, page 216-222. IEEE Computer Society, (2018)