Mapping Irregular Computations to Accelerator-Based Exascale Systems @%E8%A8%88%E7%AE%97%E7%A7%91%E5%AD%A6e%E3%83%A9%E3%83%BC%E3%83%8B%E3%83%B3%E3%82%B0%E3%82%A2%E3%83%BC%E3%82%AB%E3%82%A4%E3%83%96%E3%83%81%E3%83%A3

Uploaded March 2026 | Updated September 2026, 2 hours ago

2026 ACM Second Asian School on High-Performance Computing and Artificial Intelligence
January 30 - February 3, 2026
RIKEN Center for Computational Science (R-CCS), Kobe, Japan

Keynote
"Mapping Irregular Computations to Accelerator-Based Exascale Systems”
Kathy Yelick (UC Berkeley)

2026 ACM Second Asian School on High-Performance Computing and Artificial Intelligence
europe.acm.org/seasonal-schools/asean/2026

Mapping Irregular Computations to Accelerator-Based Exascale Systems

AI-Assisted Code Generation for HPC: Lessons from the HPC-GENIE Project

Intro To Big Data and Machine Learning Hands In Ⅰ

Quantum algorithms based on post-processing: Quantum error mitigation and hybrid tensor networks

Making Weather and Climate Models Exascale-Ready: Performance, Scalability and Profiling (Part 1)

International collaboration in High Performance Computing: Success and Challenges”

Computing for the Future at R-CCS: AI for Science, Quantum-HPC Hybrid, and Fugaku NEXT ①