SC20
SC20 (The International Conference for High Performance Computing, Networking, Storage, and Analysis) will take place from November 9 to 19, 2020. SC20 will be a fully virtual conference. This page includes posters and videos introducing our research.
Contents
Overview of Current & Future Systems
Title / Author | Contents |
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Supercomputers and Applications: ITC/JCAHPC The University of Tokyo | |
mdx: Infrastructure for leveraging data | |
h3-Open-BDEC: Innovative Software Platform for Scientific Computing in the Exascale Era by Integrations of (Simulation + Data + Learning) Kengo Nakajima (Information Technology Center, The University of Tokyo) |
PDF Youtube |
Research Activities
Title / Author | Contents |
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Research Activities | |
Computer Science | |
SW/HW Optimizations for Next-Generation Supercomputing Eishi Arima (Information Technology Center, The University of Tokyo) |
PDF Video |
UT-Helper: Support for HPC and DA Utilizing Unused cores Toshihiro Hanawa (Information Technology Center, The University of Tokyo) |
PDF Video |
Design of Parallel BEM Analysis Framework for SIMD Processors Tetsuya Hoshino (Information Technology Center, The University of Tokyo) |
PDFVideo |
Computational Science | |
Fast Surrogate for Approximating Steady Flow Simulations Takashi Shimokawabe (Information Technology Center, The University of Tokyo) |
PDF Video |
Extending molecular dynamics for liquid / soft matter Hayato Shiba (Information Technology Center, The University of Tokyo) |
PDF Video |
Exploration of dark matter sub-halos by using N-body simulations Yohei Miki (Information Technology Center, The University of Tokyo) |
PDF Video |
Numerical Algorithms | |
Multiplicative Schwartz type Block Multi-color Gauss-Seidel Smoother for Multigrid Masatoshi Kawai (Information Technology Center, The University of Tokyo) |
PDF Video |
ℋACApK library with low-rank structured matrices Akihiro Ida (Information Technology Center, The University of Tokyo) |
PDF Video |
Low Precision Computing in Sparse Linear Solvers Kengo Nakajima (Information Technology Center, The University of Tokyo) |
PDF Video |
Accuracy Verification of Sparse Linear Solvers with FP64/FP32 Arithmetic Kengo Nakajima (Information Technology Center, The University of Tokyo) |