Menu
I guess the question speaks for itself. I'm interested in doing some serious computations but am not a programmer by trade. I can string enough python together to get done what I want. But can I write a program in python and have the GPU execute it using CUDA? Or do I have to use some mix of python and C?
The examples on Klockner's (sp) "pyCUDA" webpage had a mix of both python and C, so I'm not sure what the answer is.
If anyone wants to chime in about Opencl, feel free. I heard about this CUDA business only a couple of weeks ago and didn't know you could use your video cards like this.
473
CUDA C is essentially C/C++ with a few extensions that allow one to execute functions on the GPU using many threads in parallel.
CUDA® Python provides Cython/Python wrappers for CUDA driver and runtime APIs; and is installable today by using PIP and Conda. Python developers will be able to leverage massively parallel GPU computing to achieve faster results and accuracy.
CUDA C is a programming language with C syntax.
You should take a look at CUDAmat and Theano. Both are approaches to writing code that executes on the GPU without really having to know much about GPU programming.
136
I believe that, with PyCUDA, your computational kernels will always have to be written as "CUDA C Code". PyCUDA takes charge of a lot of otherwise-tedious book-keeping, but does not build computational CUDA kernels from Python code.
33
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
