CUDA, OPENCL AND GMP. TOWARDS A HYBRID GMP?

[Allan Menezes]

Dear Tobjorn, Todd,


    I had brought this question up long before of using specifcally CUDA and NVIDIA  GPUs


to accelerate some GMP functions. To compromise one can create a hybrid gmp library where some


gmp functions are executed on the host machines CPU and some on the GPU and some perhaps a 


combination of both. For example there exists a GMP port of some mpf fumctions in CUMP (google


cump and cuda) . But my much earlier suggestion was using par4all software (google par4all)


to change carefully the generic subdirectory of C routines in the gmp library by the pat4all software


into CUDA routines which can be compiled with nvcc. Par4all takes as input a C program and outputs 


a paralellized .cu  file. On the other hand for AMD Graphic Cards  or NVIDIA with OpenCl one could use


SnuCl( google snucl opencl).


Par4all would only compile source C files into .cu which would could still be under the Creative Commons


Licensing paradigm and the end user with a suitable configure could compile the the hybrid GMP library


on his/her/other machine using ones on install CUDA software. Hence the branch Hybrid GMP library source as distributed


would be suitably open source.


Notably a good high end GPU would be the Geforce TITAN for about $1000CDN which boasts a double precision


peak of 1.3 Teraflops and $.5 Teraflops single precision to test it on.





Allan