GPU ( Graphic Processing Unit, 圖形處理器)與電腦叢集的快速發展與強大計算能力,預期將把科學計算提昇到另一層次。為掌握此一發展趨勢,此系列演講針對大型矩陣計算,介紹如何在電腦叢集使用平行程式庫,以及如何在GPU 上撰寫程式與開發軟體。內容從基本平行計算概念開始,逐漸涵蓋當今最先進的知識與方法,內容特別著重 GPU 運作概念的建立與精熟。
Mr. Vasily Volkov ( Department of Computer Science, University of California, Berkeley)
Mr. Yu-kai Hung ( Department of Mathematics, National Taiwan University)
洪郁凱先生(台灣大學數學系)
1. Parallel concept and hardware architectures
2. CUDA programming model Overview
3. Hardware Hierarchy and Optimization
4. Memory Hierarchy and Optimization
5. CUDA Advanced Memory Usage and Optimization
6. CUDA Asynchronous Memory Usage and Execution
7. CUDA Linear Algebra Library and Next Generation Architecture
8. Portable Operating System Interface Thread