Dear mailing list recipients, Whenever I run clrandom.rand, it takes approximately 9 seconds independent of the amount of random numbers. This is quite frustrating since I have a program where I need to run clrandom.rand several times. I'm getting the problem on my AMD/ATI platform. I don't get the problem on my Nvidia platform. Anyone got suggestions? Am I doing something wrong?
#### Example output: #### Creating 10 randoms with opencl in 9.00800013542s Creating 10 randoms with numpy in 0.0s Creating 100000000 randoms with opencl in 8.90499997139s Creating 100000000 randoms with numpy in 2.40300011635s #### Example Code: #### import pyopencl as cl import pyopencl.clrandom import numpy import time numpy.random.seed() N = 10**8 # Amount of random numbers ctx = cl.create_some_context() queue = cl.CommandQueue(ctx) dtype = numpy.float32 tic = time.time() clrandoms = cl.clrandom.rand(ctx, queue, N, dtype) print "Creating " + str(N) + " randoms with opencl in " + str(time.time() - tic) + "s" tic = time.time() nprandoms = numpy.random.rand(N).astype(dtype) print "Creating " + str(N) + " randoms with numpy in " + str(time.time() - tic) + "s" Yours sincerely, Patric _______________________________________________ PyOpenCL mailing list [email protected] http://lists.tiker.net/listinfo/pyopencl
