Introduction to Our Research Topics (研究紹介)
最近の学位論文の題名一覧はこちらを見てください.
You can see recent thesis titles here.
On-going topics
-
Analysis on Cerebras Wafer Scale Engine through Cross-entropy loss function
-
Memory Optimization and Performance Acceleration in CPU–GPU Co-Coupled Architecture
-
Performance analysis and acceleration methods for Kolmogorov–Arnold Networks
Past topics
High-Level, High-Performance General-Purpose Programming Frameworks
- MassiveThreads: Super Lightweight Thread Library
- 高性能なタスク並列スケジューラ
- 分散共有メモリ
- PerformanceAnalysisTools
- MPI+ULT
- Lightweight Threading Library and OpenMP Runtime System
- GXP Parallel Shell/Scripting Tool
Very High-Level, High-Performance Domain-Specific Programming Frameworks
Deep Learning (深層学習)
- Analysis of Large Mini-Batch Training of Neural Networks
- Accelerating Neural Networks Having Dynamic Computation Graphs
- 深層学習フレームワークの性能解析