Skip to main content

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

reikna-0.4.0.tar.gz (139.1 kB view details)

Uploaded Source

File details

Details for the file reikna-0.4.0.tar.gz.

File metadata

  • Download URL: reikna-0.4.0.tar.gz
  • Upload date:
  • Size: 139.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for reikna-0.4.0.tar.gz
Algorithm Hash digest
SHA256 c5cb8f877a7973097cd6d6a4be9482e2a13f9ded0f47bc64a1ca2150eb07d993
MD5 44de345d98016993dc65f7e158dcc016
BLAKE2b-256 5189a302661bd2f1231e2946289679e08ab2c5c0c3e3428e2b25d22fa627a267

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page