学際大規模情報基盤共同利用・共同研究拠点

採択課題 【詳細】

jh260049 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 aims to establish practical methodologies for porting CPU applications to accelerator-equipped supercomputers, focusing on the NVIDIA GH200-based "Miyabi-G" system. Through collaboration between domain and HPC experts, it addresses the trade-offs between performance, portability, and maintainability. The research includes five themes: optimizing unified memory for OpenSWPC, developing a lambda-based custom wrapper for N-body codes, improving Kokkos performance for fluid dynamics, introducing a Kokkos-Python interface via MLIR, and enhancing the Kokkos ecosystem. These efforts utilize the GH200's tightly coupled architecture to advance scientific applications.
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