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iFDK: a scalable framework for instant high-resolution image reconstruction.

, , , , and . SC, page 84:1-84:24. ACM, (2019)

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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)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)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)Myths and Legends in High-Performance Computing., , , , and . CoRR, (2023)KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training., , , , and . CoRR, (2023)Progressive Neural Predictor with Score-Based Sampling., , , , and . IJCNN, page 1-8. IEEE, (2024)CG-Kit: Code Generation Toolkit for performant and maintainable variants of source code applied to Flash-X hydrodynamics simulations., , , , , , and . Future Gener. Comput. Syst., (2025)Tadashi: Enabling AI-Based Automated Code Generation With Guaranteed Correctness., , , , and . CoRR, (2024)