Programming Massively Parallel Processors: A Hands-on Approach
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Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs.
Chapter 1: IntroductionChapter 2: History of GPU ComputingChapter 3: Introduction to CUDAChapter 4: CUDA ThreadsChapter 5: CUDA MemoriesChapter 6: Performance ConsiderationsChapter 7: Floating-Point ConsiderationsChapter 8: Application Case Study I - Advanced MRI ReconstructionChapter 9: Application Case Study II - Molecular Visualization and AnalysisChapter 10: Parallel Programming and Computational ThinkingChapter 11: A Brief Introduction to OpenCL ™Chapter 12: Conclusion and Future OutlookAppendix A: Matrix Multiplication Example CodeAppendix B: Speed and feed of current generation CUDA devices
