Working on faster null hypothesis generation
July 6th, 2009
I tried using the GPU for random number generation when doing the null hypothesis generation. This time I’m using CUDPP’s random function which will generate an array of random values using CUDA. There is a speed increase from approximately 18 seconds down to 14 seconds when using a 10000 population, 789 cases, 2500 grid point data set. The biggest bottleneck right now is generating the null hypothesis. Specifically, generating the random numbers. I might be near or at the maximum random generation speed available?
Important note though: There is a bug somewhere causing bad p-values to be output now. Will investigate tomorrow.
Categories: SURF