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High Order Seismic Simulations on the Intel Xeon Phi Processor (Knights Landing).

, , , и . ISC, том 9697 из Lecture Notes in Computer Science, стр. 343-362. Springer, (2016)

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Petaflop Seismic Simulations in the Public Cloud., , и . ISC, том 11501 из Lecture Notes in Computer Science, стр. 167-185. Springer, (2019)Parallel Fully Adaptive Tsunami Simulations., , и . Facing the Multicore-Challenge, том 7686 из Lecture Notes in Computer Science, стр. 137-138. Springer, (2012)Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures., , , , , , и . CoRR, (2023)Accelerating SeisSol by Generating Vectorized Code for Sparse Matrix Operators., , , и . PARCO, том 25 из Advances in Parallel Computing, стр. 347-356. IOS Press, (2013)Tensor-optimized hardware accelerates fused discontinuous Galerkin simulations., , и . Parallel Comput., (2019)YASK - Yet Another Stencil Kernel: A Framework for HPC Stencil Code-Generation and Tuning., , , и . WOLFHPC@SC, стр. 30-39. IEEE Computer Society, (2016)Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads., , , , , , , , , и 7 other автор(ы). SC, стр. 14. ACM, (2021)EDGE: Extreme Scale Fused Seismic Simulations with the Discontinuous Galerkin Method., , и . ISC, том 10266 из Lecture Notes in Computer Science, стр. 41-60. Springer, (2017)High-Order ADER-DG Minimizes Energy- and Time-to-Solution of SeisSol., , , и . ISC, том 9137 из Lecture Notes in Computer Science, стр. 340-357. Springer, (2015)Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads., , , , , , , , , и 9 other автор(ы). Frontiers Appl. Math. Stat., (2022)