Hello,
Okay, so I am writing a little wrapper in order to allow for CBLAS
(OpenBlas, and possibly MKL, provided that the headers are compatible)
linking.
I started wondering, why not doing the same thing for CuBLAS? It seems like
our efforts are getting more focused on dynamic code generation and
auto-tuning, which is hardly applicable to CUDA at the moment. While having
a header-only CUDA implementation is certainly a good thing for portability
issues, I feel like our user-base could enormously benefit from CuBLAS
linking functionnalities (at least for blas2 and blas3, since expression
trees probably allow us to beat CuBLAS on arithmetic operations). Is there
any major obstacle to enabling this?
Best regards,
Philippe
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