On Sonntag 22 Juni 2008, Kevin Jacobs <[EMAIL PROTECTED]> wrote:
> Thanks for the clarification. That makes perfect sense. Do you have any
> feelings on the relative performance of GPUArray versus CUBLAS?
Same. If you check out the past version of PyCuda that still has CUBLAS, there
are files t
On Sun, Jun 22, 2008 at 3:58 PM, Andreas Klöckner <[EMAIL PROTECTED]> wrote:
> PyCuda is based on the driver API. CUBLAS uses the high-level API. Once
> *can*
> violate this rule without crashing immediately. But sketchy stuff does
> happen. Instead, for BLAS-1 operations, PyCuda comes with a clas
Hi all,
I am happy to announce the availability of PyCuda [1,8], which is a
value-added Python wrapper around Nvidia's CUDA [2] GPU Computation
framework. In the presence of other wrapping modules [3,4], why would you
want to use PyCuda?
* It's designed to work and interact with numpy.
* RAII
