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-0.6.2.tar.gz (149.3 kB view details)

Uploaded Source

File details

Details for the file reikna-0.6.2.tar.gz.

File metadata

  • Download URL: reikna-0.6.2.tar.gz
  • Upload date:
  • Size: 149.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for reikna-0.6.2.tar.gz
Algorithm Hash digest
SHA256 d325b3ff454ab15e598157431f3b28c3bca9750469059da6ccc757204b314ac6
MD5 a18a1aabebee5e1ce3fcac6a72cf61e5
BLAKE2b-256 5f5019cb5ff00c75a9e0688595a51bb976c81b55a22e5ce1d4f9fbaa8fb4fb3f

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