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-0.6.4.tar.gz (151.0 kB view details)

Uploaded Source

File details

Details for the file reikna-0.6.4.tar.gz.

File metadata

  • Download URL: reikna-0.6.4.tar.gz
  • Upload date:
  • Size: 151.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for reikna-0.6.4.tar.gz
Algorithm Hash digest
SHA256 dfbed05e569915303e55bcf66f68ebf7b78718ed3d90d9ea5e9177f6ddbd90ba
MD5 5176bae4fdf4c0bdd46f6ffb8e0183c0
BLAKE2b-256 22f927663756f0ccadadccc7462004ae5cff219ca6d57301203e41790547c7d9

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