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 notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file reikna-0.7.6.tar.gz.
File metadata
- Download URL: reikna-0.7.6.tar.gz
- Upload date:
- Size: 191.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 722fefbd253d0bbcbf5250b7b9c4aca5722cde4ca38bfbf863a551a5fc26edfa |
|
| MD5 | 13b3a9bcde23d6b0b0ef119997adfa02 |
|
| BLAKE2b-256 | 1e85c12b134f630478e9ce16e93a199853c03b0b45eddd968e23bbeebf325f88 |
