Hi, first thanks for this fine piece of software.
Optimizing my kernels, the nvidia's visual profiler recommended, that I should use more pinned memory. I read the PyCUDA documentation [1] and tried to understand the sparse solve example [3], but I could not make out how to turn an existing numpy array into pinned memory. I did not find further examples of PageLockedMemoryPool [2]. Thanks Nick [1] http://documen.tician.de/pycuda/driver.html#pagelocked-allocation [2] http://www.google.com/codesearch#search/&q=PageLockedMemoryPool%20lang:%5Epython$&type=cs [3] http://wiki.tiker.net/PyCuda/Examples/SparseSolve _______________________________________________ PyCUDA mailing list PyCUDA@tiker.net http://lists.tiker.net/listinfo/pycuda
