May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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Installing and testing
Before we discuss some fundamental GPU programming concepts, it is essential that we revisit the CUDA installation and testing procedure that we covered earlier in Chapter 2, Designing a GPU Computing Strategy, while concluding the DIY section. Step-by-step screenshots of a fresh Ubuntu 18.04 Linux installation were illustrated. There were only two basic steps involved, as we discussed previously.
It requires performing the following sequential tasks:
- Driver installation: The driver installation can be done by installing the most recent version of the NVIDIA graphics driver from the available Ubuntu repository via Additional Drivers.
- CUDA toolkit installation: The toolkit package goes by the name of nvidia-cuda-toolkit ...
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