December 2012
Intermediate to advanced
514 pages
13h 6m
English
Content preview from Programming Massively Parallel Processors, 2nd Edition
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Chapter 4
Data-Parallel Execution Model
Chapter Outline
4.1 Cuda Thread Organization
4.2 Mapping Threads to Multidimensional Data
4.3 Matrix-Matrix Multiplication—A More Complex Kernel
4.4 Synchronization and Transparent Scalability
4.5 Assigning Resources to Blocks
4.6 Querying Device Properties
4.7 Thread Scheduling and Latency Tolerance
4.8 Summary
4.9 Exercises
Fine-grained, data-parallel threads are the fundamental means of parallel execution in CUDA. As we explained in Chapter 3, launching a CUDA kernel creates a grid of threads that all execute the kernel function. That is, the kernel function specifies the C statements that are executed by each individual thread at runtime. Each thread uses a unique coordinate, or thread index, to identify ...
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