Reikna, a pure Python GPGPU library¶
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
The installation is as simple as
$ pip install reikna
Community resources¶
- Source repository on GitHub;
- Issue tracker, ibid.;
- Discussion forum on Google Groups.
Contents¶
- Introduction
- Tutorial: modules and snippets
- Tutorial: basics
- Tutorial: advanced topics
- API reference
- Release history
- 0.8.0 (current development version)
- 0.7.2 (16 Sep 2018)
- 0.7.1 (14 Aug 2018)
- 0.7.0 (5 Jul 2018)
- 0.6.8 (18 Dec 2016)
- 0.6.7 (11 Mar 2016)
- 0.6.6 (11 May 2015)
- 0.6.5 (31 Mar 2015)
- 0.6.4 (29 Sep 2014)
- 0.6.3 (18 Jun 2014)
- 0.6.2 (20 Feb 2014)
- 0.6.1 (4 Feb 2014)
- 0.6.0 (27 Dec 2013)
- 0.5.2 (17 Dec 2013)
- 0.5.1 (30 Nov 2013)
- 0.5.0 (25 Nov 2013)
- 0.4.0 (10 Nov 2013)
- 0.3.6 (9 Aug 2013)
- 0.3.5 (6 Aug 2013)
- 0.3.4 (3 Aug 2013)
- 0.3.3 (29 Jul 2013)
- 0.3.2 (29 Jul 2013)
- 0.3.1 (25 Jul 2013)
- 0.3.0 (23 Jul 2013)
- 0.2.4 (11 May 2013)
- 0.2.3 (25 Apr 2013)
- 0.2.2 (20 Apr 2013)
- 0.2.1 (8 Mar 2013)
- 0.2.0 (3 Mar 2013)
- 0.1.0 (12 Sep 2012)
- 0.0.1 (22 Jul 2012)
