> On 27 Sep 2016, at 16:51, 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, that would be a great thing to do. Last time, I tried to use CULA, it was almost impossible to get to the homepage, and then they told me that there are no free versions, any longer. It felt a bit like abandon-ware. I gave up trying to use that part to skcuda. Best regards, Hanno _______________________________________________ PyCUDA mailing list PyCUDA@tiker.net https://lists.tiker.net/listinfo/pycuda
