BLAS or LAPACK in CUDA kernel

2 views (last 30 days)
Rodrigo
Rodrigo on 5 Jun 2013
Hi, I need to do x=A\b several hundred million times, along with other trivial arithmetic, for an A that is 4x4 and dense. I was thinking about writing a little CUDA kernel that would get called within MATLAB to do this, but I don't know how I would call something like DGETRS or SGETRS within a thread. CUBLAS, MAGMA, and things of that kind seem to parallelize this operation for a single, massive A, but I don't how they would help me. Is this possible?
Thanks!

Accepted Answer

James Lebak
James Lebak on 5 Jun 2013
You're correct that you can't call DGETRS and SGETRS directly, as that's CPU-side code. The CUDA 5 version of CUBLAS has a batched LU factorization API, and an ability to call BLAS routines on the device, either of which might be helpful. You can call CUBLAS CPU-side routines from a GPU MEX file in R2013a.
  1 Comment
Rodrigo
Rodrigo on 5 Jun 2013
thanks. I guess I'll have to get the new version of matlab from my department and play around with the new CUDA toolbox.

Sign in to comment.

More Answers (0)

Categories

Find more on Get Started with GPU Coder in Help Center and File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by