Hiroki Naganuma

ACM HPC-AI 2026 School

Links

• Workshop Website

Day1 (Jan 30th)

• Prof. Kathy Yelick
  • UC Berkeley
  • Narrow Data FP32->NVFP4
  • Simple Cores
  • Model Efficiency

  • Sparsity

  • k-mer
  • consider data parallelism and task parallelism
• Prof. Satoshi Matsuoka
  • Fugaku
  • Ai for Science
  • Dr. Okuno / AI Pharma Division
• Prof Bernd Mohr
  • Parallelism
    • Domain Decomposition
      • Data Parallelism - Model Parellelism
    • Functional Decomposition
      • Task Parallelism

Day2

• Prof Naoto Yokoya
  • Remote sensing
  • ML, computer vision
• Prof Bernd Mohr
  • MPI

Day3

• Prof Jeff Vetter
  • Heterogeneous Computing
  • CUDA - OpenACC - IRIS
• Prof Jens Domke
  • Benchmarking
• Prof Mohamed WAHIB
  • AI and Machine Learning on HPC Systems

Day5

• Prof Yoshiyuki Kajikawa
  • Climate Diagnostics