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Performance Analysis and Optimization of a Hybrid Seismic Imaging Application.

, , , and . ICCS, volume 80 of Procedia Computer Science, page 8-18. Elsevier, (2016)

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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)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)Evaluation of Programming Models and Performance for Stencil Computation on GPGPUs., and . IPDPS (Workshops), page 1178-1180. IEEE, (2024)Evaluation of Distributed Tasks in Stencil-based Application on GPUs., , , and . ESPM2@SC, page 45-52. IEEE, (2021)Enabling user-driven Checkpointing strategies in Reverse-mode Automatic Differentiation, and . CoRR, (2006)Introducing the Semi-stencil Algorithm., , and . PPAM (1), volume 6067 of Lecture Notes in Computer Science, page 496-506. Springer, (2009)Evaluation of Directive-Based Programming Models for Stencil Computation on Current GPGPU Architectures., , and . IWOMP, volume 15195 of Lecture Notes in Computer Science, page 126-140. Springer, (2024)Massively Distributed Finite-Volume Flux Computation., , , , and . SC Workshops, page 1713-1720. ACM, (2023)