1、Cuda 平行運算機制報告者：林威辰 Slides MPI基本定理 各種平行運算的簡介 CUDA簡介 使用 VS 建置 CUDA CUDA基本知識 CUDA硬體架構 CUDA缺點 My ResearchSlides http:/courses.ece.uiuc.edu/ece498/al/Syllabus.html National Center for High-Performance Computing http:/ http:/pccluster.nchc.org.tw/main/tutor/09nctu/ http:/.tw/object/cuda_home_tw.html NCHC教
2、育訓練網 https:/edu.nchc.org.tw/ http:/ http:/ Computing Introduction Flynns Taxonomy Amdahls Law Moores Law Finding ConcurrencyFlynns TaxonomyAmdahls Law Expected speedup from partial improvement P： proportion of program that is parallel S： speedup of parallel portionMoores Law The number of transistors on ICs doubles every 18 months In the past, CPUs have been taking advantage of Moore,s Law to： Increase clock frequency Increase exploitation of ILP ILP： Instruction-Level Parallelism Result： CPUs gets faster Increasingly difficult to get faster各種平行運算的簡介平行運算示意圖
