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.
*
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 class
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
