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At-Scale Sparse Deep Neural Network Inference With Efficient GPU Implementation., , , , , , and . HPEC, page 1-7. IEEE, (2020)Node-Aware Stencil Communication for Heterogeneous Supercomputers., , , , , , and . IPDPS Workshops, page 796-805. IEEE, (2020)Fast Numerical Integration Techniques for 2.5-Dimensional Inverse Problems., , , and . CoRR, (2022)Graph Neural Network Training and Data Tiering., , , , , and . KDD, page 3555-3565. ACM, (2022)Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures., , , , , , and . ASPLOS (3), page 528-544. ACM, (2024)Accelerating Fourier and Number Theoretic Transforms using Tensor Cores and Warp Shuffles., , , , , , , and . PACT, page 345-355. IEEE, (2021)MemXCT: memory-centric X-ray CT reconstruction with massive parallelization., , , , , , , and . SC, page 85:1-85:56. ACM, (2019)PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks., , , , , , and . CoRR, (2023)A Fast and Massively-Parallel Inverse Solver for Multiple-Scattering Tomographic Image Reconstruction., , , , , and . IPDPS, page 64-74. IEEE Computer Society, (2018)Petascale XCT: 3D image reconstruction with hierarchical communications on multi-GPU nodes., , , , , , , , and . SC, page 37. IEEE/ACM, (2020)