On Tue, Sep 27, 2016 at 3:22 AM, Mayank Jobanputra <[email protected]> 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 _______________________________________________ PyCUDA mailing list [email protected] https://lists.tiker.net/listinfo/pycuda
