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GPGPU algorithms for PyCUDA and PyOpenCL

Project Description

Reikna is a library containing various GPU algorithms built on top of PyCUDA and PyOpenCL. The main design goals are:

  • separation of computation cores (matrix multiplication, random numbers generation etc) from simple transformations on their input and output values (scaling, typecast etc);
  • separation of the preparation and execution stage, maximizing the performance of the execution stage at the expense of the preparation stage (in other words, aiming at large simulations)
  • partial abstraction from CUDA/OpenCL

Tests can be run by installing Py.Test and running py.test from the test folder (run py.test --help to get the list of options).

For more information proceed to the project documentation page. If you have a general question that does not qualify as an issue, you can ask it at the discussion forum.

Release History

Release History

This version
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0.6.8

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0.6.7

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0.6.6

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0.6.5

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0.6.4

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0.6.3

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0.6.2

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0.6.1

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0.6.0

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0.5.2

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0.4.0

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0.3.6

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
reikna-0.6.8.tar.gz (163.8 kB) Copy SHA256 Checksum SHA256 Source Dec 18, 2016

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