研究内容詳細

本ページは過去の研究ポスターを掲載しています．

全体概要

個別テーマ

AI/量子アニーリング

  • Combinatorial Clustering based on an Externally-defined One-hot Constraint
    • appeared in CANDAR20
  • Performance Evaluation of a Clustering Approach based on Thermophysical Properties by using Multiple Platform
    • appeared in HPCAsia2020
  • 機械学習基盤を用いたクラスタリングの高速化に関する研究 (Japanese)
    • appeared in 分野横断セミナー2020
  • Quantum-Annealing-Assisted Next Generation HPC Infrastructure
    • appeared in SC18

    • アーキテクチャ

    • An Efficient Skinny Matrix-Matrix Multiplication Method by Folding Input Matrices into Tensor Core Operations
      • appeared in CANDAR20
  • Metadata Management for Large-Scale Hybrid Memory Architectures
    • appeared in ISC2020
  • A Skewed Multi-bank Cache for Vector Processors
    • appeared in ISC19
  • Memory Architecture for Vector Supercomputers
    • appeared in SC18

    • 高性能計算

  • Acceleration of Numerical Turbine using the Red-Black Method
    • appeared in HPCAsia2020
  • Wavefront並列アルゴリズムを用いたLU-SGSの高速化 (Japanese)
    • appeared in 分野横断セミナー2020
  • Enhancing Disaster Resilience by Real-time Tsunami Inundation Forecasting and Robust Information Dissemination
  • Optimizing Memory Layout of Hyperplane Ordering for Vector Supercomputer SX-Aurora TSUBASA
    • appeared in SC19
  • シミュレーションの高速化に関する研究 (Japanese)
    • appeared in オープンキャンパス2019
  • An Application Parameter Search Method Based on the Binary Search Algorithm for Performance Tuning
    • appeared in ISC19
    • © 2025 アーキテクチャ学. Created for free using WordPress and Colibri