Keith Brown <keith6...@gmail.com> writes: > I have a 2 small matrix (160080,3) of type float32 and I am > calculating their dot product. While doing this, I keep getting > pycuda.__driver.MemoryError: cuMemAlloc failed out of memory. > > I have 2 cards, each with 3GB of memory. Each matrix takes about 1875 > kilobytes. I am not sure why this is occuring. > > x=np.ones((160080,3L)).astype(np.float32) > a_gpu=gpuarray.to_gpu(x) > b_gpu=gpuarray.to_gpu(x) > c_gpu = linalg.dot(a_gpu,b_gpu,'N','T',handle=handle) > > My handle is a cublasxt (not regular cublas since blasxt apprently > does better memory handling).
Is "linalg" the regular numpy linalg module? If so, that's not going to work, because that effectively accesses the GPU array element-by-element across the PCIe bus. You probably need to call a cublas wrapper. Andreas _______________________________________________ PyCUDA mailing list PyCUDA@tiker.net http://lists.tiker.net/listinfo/pycuda
