Excuse me stupid question, but why are you reimplementing XORWOWRandomNumberGenerator instead of using it?
The code should look like this: import numpy # This initializes random number generator r = pycuda.curandom.XORWOWRandomNumberGenerator() # This will create GPUArray of 32-bit floats with # sizes 100x200x300 and fill it with normalized random # numbers array = r.gen_normal((100, 200, 300), dtype = numpy.float32) # Or, if you already have array... array = pycuda.gpuarray.GPUArray((200, 400), dtype = numpy.float32) r.fill_normal(array) It will use as many cores as you have, check for errors, etc. Best regards -- Tomasz Rybak <[email protected]> GPG/PGP key ID: 2AD5 9860 Fingerprint A481 824E 7DD3 9C0E C40A 488E C654 FB33 2AD5 9860 http://member.acm.org/~tomaszrybak
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