Hi,
> Thanks for that great e-mail.
thanks for your interest ;-)
> I'd be glad if you could send me the randomized SVD paper. I'll take a
> look at this weekend. With the 'standard' SVD yes, I'll take a look at
> the OpenCL part. For the generalized SVD is there an implementation for
> N=2 in
Hi Karli,
Thanks for that great e-mail.
I'd be glad if you could send me the randomized SVD paper. I'll take a look
at this weekend. With the 'standard' SVD yes, I'll take a look at the
OpenCL part. For the generalized SVD is there an implementation for N=2 in
ViennaCL?
I did already fork both v
Hi Aanchan,
> Just to give you an intro:
> I work in speech recognition, with C/C++ toolkits like HTK and Kaldi. We
> have added some of our own libraries to these codebases maintained
> internally at McGill. I am also familiar with Python, Perl, Bash and
> CUDA. I use a Python wrapper called Gnu
Hi Karli,
Just to give you an intro:
I work in speech recognition, with C/C++ toolkits like HTK and Kaldi. We
have added some of our own libraries to these codebases maintained
internally at McGill. I am also familiar with Python, Perl, Bash and CUDA.
I use a Python wrapper called Gnumpy (wrapped
Hi Aanchan,
thanks for your message.
> I'd like to contribute to the ViennaCL project.
Great! :-)
> I guess the best way to
> get started off is to address some of the open issues.
Either that, or you have some algorithms you are particularly interested
for which there is no full implementa
Hello
I'd like to contribute to the ViennaCL project. I guess the best way to get
started off is to address some of the open issues. I saw your repo on
github, it appears that there are 37 open issues. Are there any particular
ones I could start workin on? Pointers are appreciated. I left a messag
