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Graph Neural Network Training with Data Tiering., , , , , и . CoRR, (2021)At-Scale Sparse Deep Neural Network Inference With Efficient GPU Implementation., , , , , , и . HPEC, стр. 1-7. IEEE, (2020)Node-Aware Stencil Communication for Heterogeneous Supercomputers., , , , , , и . IPDPS Workshops, стр. 796-805. IEEE, (2020)An Efficient GPU Implementation Technique for Higher-Order 3D Stencils., , , и . HPCC/SmartCity/DSS, стр. 552-561. IEEE, (2019)Petascale XCT: 3D image reconstruction with hierarchical communications on multi-GPU nodes., , , , , , , , и . SC, стр. 37. IEEE/ACM, (2020)A Fast and Massively-Parallel Inverse Solver for Multiple-Scattering Tomographic Image Reconstruction., , , , , и . IPDPS, стр. 64-74. IEEE Computer Society, (2018)PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses., , , , , , , и . CoRR, (2021)PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks., , , , , , и . CoRR, (2023)Accelerating Fourier and Number Theoretic Transforms using Tensor Cores and Warp Shuffles., , , , , , , и . PACT, стр. 345-355. IEEE, (2021)MemXCT: memory-centric X-ray CT reconstruction with massive parallelization., , , , , , , и . SC, стр. 85:1-85:56. ACM, (2019)