Ehmm, I'm not sure I understand exactly what you do, but to me it sounds like you try to calculate the dot product of a 160080 x 3 matrix and a similar one transposed, i.e. a 3 x 160080 matrix. That would give you a 160080 x 160080 matrix result - which surely won't fit your 3GB of GPU memory.
Cheers, Jonas On 2015-11-23 17:10, Keith Brown wrote: > 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). > > Any idea what is going on? > > _______________________________________________ > PyCUDA mailing list > PyCUDA@tiker.net > http://lists.tiker.net/listinfo/pycuda >
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