May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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Grids
Going one level further, grids are a collection of blocks. Based on the compute capability of your NVIDIA GPU, you can set the maximum size of blocks with respect to the grid's maximum number of threads and blocks. In this manner, you'll be able to get the most out of the GPU's compute power with maximum occupancy. To make this easier, NVIDIA provides a CUDA Occupancy Calculator for estimation:
- Download the link for offline use by following this link: https://developer.download.nvidia.com/compute/cuda/CUDA_Occupancy_calculator.xls
- The online version of the same is also available at the following URL: https://xmartlabs.github.io/cuda-calculator/
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