May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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Numba (formerly Accelerate)
Programming in Python with Numba, or Accelerate, does not mandate the use of CUDA-C or OpenCL-C syntax within your Python code, though knowledge of those platforms is definitely an added advantage. With Numba on Anaconda, you can program across heterogeneous compute devices, including NVIDIA and AMD GPUs.
It comes with both CUDA (cudatoolkit Python package) and ROCm (rocmtools Python package) support, though Numba rocmtools is currently in an experimental stage. Numba provides the following features:
- On July 27, 2017, Numba was split into the Intel Distribution for Python and the open source Numba project's sub-projects, pyculib, pyculib_sorting, and data_profiler. Numba and all its sub-projects are now available ...
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