This is a neat feature, but do you really need to call from a kernel directly? If all you want to do is call CUBLAS functions on pycuda vector types, then you can use scikits.cuda. The driver and runtime api are inter-operable on a program level, just not between kernels, yet.
http://www.scribd.com/doc/88255296/228/G-4-Interoperability-between-Runtime-and-Driver-APIs http://lebedov.github.com/scikits.cuda/ On Fri, Aug 17, 2012 at 5:12 PM, Stanley Seibert <[email protected]>wrote: > I too am looking forward to trying this out, but it is important to note > that this feature is limited to compute capability 3.5 devices, none of > which have been released yet... > > On Aug 17, 2012, at 4:36 PM, andrew cooke <[email protected]> wrote: > > > > > Hi, > > > > At http://developer.nvidia.com/cuda/cublas it says: > > > > *New in CUDA 5.0* Device API that can be called from CUDA kernels > > > > Which I take to mean that it is now possibel to use CUBLAS while using > the > > Driver API. > > > > Meanwhile :o) at > > > http://wiki.tiker.net/PyCuda/FrequentlyAskedQuestions#Are_the_CUBLAS_APIs_available_via_PyCUDA.3F > > it says, while explaining why PyCUDA doesn't dupport CUBLAS: > > > > PyCUDA is based on the driver API. CUBLAS uses the high-level API. > > > > So... have you noticed this? Have you found any more information (I > can't > > find anything on CUBLAS 5 although I've got CUDA 5 installed and > running)? Do > > you have any plans? > > > > I am not sure PyCUDA will need to do anything - it looks like I can > simply > > call CUBLAS from a kernel - although I guess you could auto-generate > simple > > kernels that wrapper each call. > > > > Most of all I'd like to find more docs. Anyone? > > > > Thanks, > > Andrew > > > > _______________________________________________ > > PyCUDA mailing list > > [email protected] > > http://lists.tiker.net/listinfo/pycuda > > > _______________________________________________ > PyCUDA mailing list > [email protected] > http://lists.tiker.net/listinfo/pycuda >
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