December 2012
Intermediate to advanced
514 pages
13h 6m
English
Content preview from Programming Massively Parallel Processors, 2nd Edition
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Chapter 6
Performance Considerations
Chapter Outline
6.1 Warps and Thread Execution
6.2 Global Memory Bandwidth
6.3 Dynamic Partitioning of Execution Resources
6.4 Instruction Mix and Thread Granularity
6.5 Summary
6.6 Exercises
The execution speed of a CUDA kernel can vary greatly depending on the resource constraints of the device being used. In this chapter, we will discuss the major types of resource constraints in a CUDA device and how they can affect the kernel execution performance in this device. To achieve his or her goals, a programmer often has to find ways to achieve a required level of performance that is higher than that of an initial version of the application. In different applications, different constraints may dominate ...
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