Hello all,
I'm interested to know what the status is for using CUDA with matrix free 
calculations. We have a PRISMS-PF user who is interested in GPU 
calculations, and I'd like to get a better idea of what would be involved 
in adding CUDA support on our end.

So far I've read through the "CUDA Support" issue 
<https://github.com/dealii/dealii/issues/7037>, the "Roadmap for inclusion 
of GPU implementation of matrix free in Deal.II" issue 
<https://github.com/dealii/dealii/issues/2351>, the Doxygen documentation 
for classes in the CUDAWrappers namespace 
<https://www.dealii.org/9.0.0/doxygen/deal.II/group__CUDAWrappers.html>, and 
the manuscript by Karl Ljungkvist 
<http://scs.org/wp-content/uploads/2017/06/4_Final_Manuscript-1.pdf>. Are 
there any other pages I should be looking at?

My understanding from these pages is that deal.II has partial support for 
using CUDA with matrix free calculations. Currently, calculations can be 
done with scalar variables (but not vector variables) and adaptive meshes.

A few (somewhat inter-related) questions:
1). Do all of the tools exist to create a GPU version of step-48? Has 
anyone done so?
2). What exactly would be involved in creating a GPU version of step-48? Is 
it just changing the CPU Vector, MatrixFree, and FEEvaluation classes to 
their GPU counterparts, plus packaging some data (plus local apply 
functions?) into a CUDAWrappers::MatrixFree< dim, Number >::Data 
<https://www.dealii.org/9.0.0/doxygen/deal.II/structCUDAWrappers_1_1MatrixFree_1_1Data.html>
 struct?
3). Most of the discussions seemed to revolve around linear solves. For 
something like step-48 with explicit updates, will the current paradigm 
work well? Or would that require shuttling data between the GPU and CPU 
every time step, causing too much overhead? (I know that in general GPUs 
can work very well for explicit codes.)

Thanks!
Steve


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