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Accelerating Seismic Simulations Using the Intel Xeon Phi Knights Landing Processor.

, , , , and . ISC, volume 10266 of Lecture Notes in Computer Science, page 139-157. Springer, (2017)

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High accuracy molecular dynamics simulation of fluids at interfaces, , , , , , , , , and 1 other author(s). page 122-123. LRZ, Garching, (2016)Cache-oblivious matrix algorithms in the age of multicores and many cores., and . Concurr. Comput. Pract. Exp., 27 (9): 2215-2234 (2015)PolyDL: Polyhedral Optimizations for Creation of High Performance DL primitives., , , , , and . CoRR, (2020)FPGA-based AI Smart NICs for Scalable Distributed AI Training Systems., , , , and . CoRR, (2022)Next-Generation Local Time Stepping for the ADER-DG Finite Element Method., and . IPDPS, page 402-413. IEEE, (2022)ISA mapper: a compute and hardware agnostic deep learning compiler., , , , , and . CF, page 164-173. ACM, (2019)Petascale Local Time Stepping for the ADER-DG Finite Element Method., , and . IPDPS, page 854-863. IEEE Computer Society, (2016)DistGNN: scalable distributed training for large-scale graph neural networks., , , , , , , , and . SC, page 76. ACM, (2021)Accelerators in scientific computing is it worth the effort?. HPCS, page 504. IEEE, (2013)High Order Seismic Simulations on the Intel Xeon Phi Processor (Knights Landing)., , , and . ISC, volume 9697 of Lecture Notes in Computer Science, page 343-362. Springer, (2016)