Jayanth Channagiri <[email protected]> writes: > Hello > > I have a NVIDIA 2000 GPU. It has 192 CUDA cores and 1 Gb memory. GB GDDR5 > I am trying to calculate fft by GPU using pyfft. > I am able to calculate the fft only upto the array with maximum of 4096 x > 4096. > > But as soon after I increase the array size, it gives an error message saying: > pycuda._driver.MemoryError: cuMemAlloc failed: out of memory > > Can anyone please tell me if this error means that my GPU is not sufficient > to calculate this array? Or is it my computer's memory? Or a programming > error? What is the maximum array size you can achieve with GPU? > Is there any information of how else can I calculate the huge arrays?
Can you please provide a complete traceback? Also, if you could share the output of pyopencl/examples/dump-properties.py (or clinfo), that might be helpful. Best, Andreas
pgpqgw2vTgUgk.pgp
Description: PGP signature
_______________________________________________ PyCUDA mailing list [email protected] http://lists.tiker.net/listinfo/pycuda
