I decided to have a play with the pycuda-0.90.2 kit for which I needed boost_1_35_0 - the main caveat is to make sure boost is using the sage python include, lib and executable rather than any system installed python. Similarly configure pycuda. My sage server runs as user sage - so I had to run the x server under sage. (I am looking into how to get the nvidia drivers loaded without x).
Upshot is low level api works like a charm from sage notebook (sage 3.0.4 built under gentoo on amd64 h/w). Since I don't need the full BLAS library and I have some optimal kernels that do sgemm better than the library version then I might have a play with this for a while and see what I run into. Cheers, Simon --~--~---------~--~----~------------~-------~--~----~ To post to this group, send email to [email protected] To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/sage-devel URLs: http://www.sagemath.org -~----------~----~----~----~------~----~------~--~---
