採択課題 【詳細】
| jh250037 | 大規模アプリケーションの高性能な実用的アクセラレータ対応手法 |
|---|---|
| 課題代表者 | 下川辺隆史(東京大学 情報基盤センター) Takashi Shimokawabe (Information Technology Center, The University of Tokyo) |
| 概要 | This project focuses on porting CPU-based applications to accelerator-equipped supercomputers and developing efficient methodologies for this transition. Targeting the upcoming Miyabi-G supercomputer, equipped with NVIDIA GH200, the project aims to optimize the seismic wave simulation code OpenSWPC and other applications using standard methods, ensuring ease of use for non-HPC researchers. Key objectives include evaluating Kokkos, a performance portability library, against OpenMP, OpenACC, and SYCL, and exploring its use for both C++ and Fortran applications. By utilizing GH200’s tightly coupled GPU-CPU architecture, the project aims to enhance communication, IO, and overall application performance while maintaining productivity and portability. |
| 報告書等 | 研究紹介ポスター ／ 最終報告書 |
| 関連Webページ |
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