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Performance study of sustained petascale direct numerical simulation on Cray XC40 systems.

, , , , , and . Concurr. Comput. Pract. Exp., (2020)

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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)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)Accelerators in scientific computing is it worth the effort?. HPCS, page 504. IEEE, (2013)FP8 Formats for Deep Learning., , , , , , , , , and 5 other author(s). CoRR, (2022)Training Neural Machine Translation (NMT) Models using Tensor Train Decomposition on TensorFlow (T3F)., and . CoRR, (2019)High-Performance Deep Learning via a Single Building Block., , , , , , , , and . CoRR, (2019)Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors., , , , , , , , and . SC, page 23:1-23:12. ACM, (2015)Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads., , , , , , , , , and 4 other author(s). CoRR, (2021)Improving Communication Performance and Scalability of Native Applications on Intel Xeon Phi Coprocessor Clusters., , , , , , , , , and 1 other author(s). IPDPS, page 1083-1092. IEEE Computer Society, (2014)Efficiency of High Order Spectral Element Methods on Petascale Architectures., , , , , and . ISC, volume 9697 of Lecture Notes in Computer Science, page 449-466. Springer, (2016)