Re: [PyCUDA] Need help to get CULA libraries free version

lopers program, I can modify skcuda.linalg.eig to use cusolver instead of cula. -- Lev E. Givon, PhD http://lebedov.github.io ___ PyCUDA mailing list PyCUDA@tiker.net https://lists.tiker.net/listinfo/pycuda

Re: [PyCUDA] GPUs slower than CPU on dot product

ort vectors such as those you are processing if you are loading a new vector into GPU memory at every iteration. You probably will see better performance processing your vectors in parallel on the CPU using something like Python's multiprocessing module or dask distributed (https://distributed.readthedocs.io/en/latest/). - Since you are using single precision floats, you will see differences in the CUDA/numpy results because of internal implementation differences. -- Lev E. Givon, PhD http://lebedov.github.io ___ PyCUDA mailing list PyCUDA@tiker.net https://lists.tiker.net/listinfo/pycuda

Re: [PyCUDA] Using numpy in SourceModule code

o want to take a look at numba's GPU support (http://numba.pydata.org). -- Lev E. Givon, PhD http://lebedov.github.io ___ PyCUDA mailing list PyCUDA@tiker.net https://lists.tiker.net/listinfo/pycuda

Re: [PyCUDA] Covariance calculation with pycuda

On Tue, Mar 13, 2018 at 9:48 AM, wrote: > Hello, > > > I do not have experience in GPU(CUDA) computation. > > I googled a lot, but I did not find how to calculate the covariance on the > GPU using pycuda or skcuda. > > All I found is the following code snippet > > https://github.com/OrangeOwlSolu