Low-Order Finite Element Solver with Small Matrix-Matrix Multiplication Accelerated by AI-Specific Hardware for Crustal Deformation Computation-Reference-Cited by-同舟云学术

Low-Order Finite Element Solver with Small Matrix-Matrix Multiplication Accelerated by AI-Specific Hardware for Crustal Deformation Computation

Published:2020-06-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Platform for Advanced Scientific Computing Conference
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Author:

Yamaguchi Takuma¹,Fujita Kohei¹,Ichimura Tsuyoshi¹,Naruse Akira²,Wells Jack C.³,Zimmer Christopher J.³,Straatsma Tjerk P.³,Hori Muneo⁴,Maddegedara Lalith¹,Ueda Naonori⁵

Affiliation:

1. The University of Tokyo, Tokyo, Japan

2. NVIDIA corporation, Tokyo, Japan

3. Oak Ridge National Laboratory, Knoxville, Tennessee

4. Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan

5. RIKEN, Kobe, Japan

Funder

Japan Society for the Promotion of Science

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394277.3401860

Reference49 articles.

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4. Arm's First-Generation Machine Learning Processor [Online]. 2018. https://www.hotchips.org/hc30/2conf2.07_ARM_ML_Processor_HC30_ARM_2018_08_17.pdf. Arm's First-Generation Machine Learning Processor [Online]. 2018. https://www.hotchips.org/hc30/2conf2.07_ARM_ML_Processor_HC30_ARM_2018_08_17.pdf.

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