November 2018
Intermediate to advanced
310 pages
7h 54m
English
Content preview from Hands-On GPU Programming with Python and CUDA
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Questions
- There are three for statements in this chapter's Mandelbrot example; however, we can only parallelize over the first two. Why can't we parallelize over all of the for loops here?
- What is something that Amdahl's Law doesn't account for when we apply it to offloading a serial CPU algorithm to a GPU?
- Suppose that you gain exclusive access to three new top-secret GPUs that are the same in all respects, except for core counts—the first has 131,072 cores, the second has 262,144 cores, and the third has 524,288 cores. If you parallelize and offload the Mandelbrot example onto these GPUs (which generates a 512 x 512 pixel image), will there be a difference in computation time between the first and second GPU? How about between the second ...
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