Dear Dr. Givon, I successfully installed CUDA 8.0 as you instructed. Can you please provide me further guidance and help me on how can I use scikit-cuda and specifically *skcuda.linalg.eig *using CUDA 8.0?
Thanks and Regards, Mayank On Tue, Sep 27, 2016 at 8:49 PM, Mayank Jobanputra < mayankjobanpu...@gmail.com> wrote: > Thanks Man. > > I will download CUDA 8.0 RC and will revert back to you in a > day. > Thank you very much. > > > On Tue, Sep 27, 2016 at 8:21 PM, Lev E Givon <l...@columbia.edu> wrote: > >> On Tue, Sep 27, 2016 at 3:22 AM, Mayank Jobanputra >> <mayankjobanpu...@gmail.com> wrote: >> > Dear All, >> > I want to use scikit-cuda and specifically skcuda.linalg.eig which >> requires >> > CULA Dense library. I tried getting it from the website but there are >> some >> > issues with the website itself which is not allowing me to download the >> CULA >> > run files for linux. >> > >> > If anyone of you has that free version of CULA Dense R17 or R18. Please >> > share the link or what other way I can use skcuda.linalg.eig? >> > >> > My another concern is Right now I am using CUDA toolkit 7.5. So if I >> install >> > any version of CULA will I have to downgrade my CUDA toolkit version? >> > >> > Anyhelp will be appriciated. >> > >> > Thanks and Regards, >> > Mayank >> >> The cusolver library in CUDA 8.0 ostensibly supports eigenvalue >> decomposition. If you can download the 8.0 RC through NVIDIA's >> accelerated computing developers program, I can modify >> skcuda.linalg.eig to use cusolver instead of cula. >> -- >> Lev E. Givon, PhD >> http://lebedov.github.io >> >> >
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