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High-Performance Reverse Time Migration on GPU., , , , , and . SCCC, page 77-86. IEEE Computer Society, (2009)Evaluation of Programming Models and Performance for Stencil Computation on Current GPU Architectures., and . CoRR, (2024)Learning with a Wasserstein Loss., , , , and . NIPS, page 2053-2061. (2015)Scalable Distributed High-Order Stencil Computations., , and . SC, page 30:1-30:13. IEEE, (2022)Introducing the Semi-stencil Algorithm., , and . PPAM (1), volume 6067 of Lecture Notes in Computer Science, page 496-506. Springer, (2009)Enabling user-driven Checkpointing strategies in Reverse-mode Automatic Differentiation, and . CoRR, (2006)Evaluation of Distributed Tasks in Stencil-based Application on GPUs., , , and . ESPM2@SC, page 45-52. IEEE, (2021)Massively Distributed Finite-Volume Flux Computation., , , , and . SC Workshops, page 1713-1720. ACM, (2023)Simulating stencil-based application on future Xeon Phi processor., , , , , and . PMBS@SC, page 7:1-7:10. ACM, (2015)Deep Neural Network Learning with Second-Order Optimizers - a Practical Study with a Stochastic Quasi-Gauss-Newton Method., , and . CoRR, (2020)