Hi all, Some of you may remember compyte discussions last year when I made the suggestion of creating a library with a compilation of GPGPU algorithms, working both with PyOpenCL and PyCuda. Long story short, I have finally found some time and created a prototype. The preliminary tutorial can be found at http://tigger.publicfields.net/tutorial.html and the project itself at https://github.com/Manticore/tigger . The examples are working and those few tests I have are running. The code in tigger.core is a mess, but I'm working on it.
At this stage this library is a prototype (or even a proof of concept) whose fate is not sealed. My current plans are to refactor tigger.core and tigger.cluda (sorry for stealing the name, Andreas, I can change it :) over the course of a week or two and start filling it with actual algorithms. One of the first will be FFT, thus deprecating pyfft, list of other plans is in TODO.rst. On the other hand, the library could be made a part of compyte, although I'm not sure it'll fit its goals. Anyway, any sort of input is appreciated. Those who want to use the library for practical applications may want to wait for the next version, which is supposed to be somewhat stable. _______________________________________________ PyCUDA mailing list [email protected] http://lists.tiker.net/listinfo/pycuda
