-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi,
I modified FFC to accept an additional option for the -l parameter to output tensor tabulation code suitable for execution in a CUDA kernel on the GPU. For that the indexing for coordinates, coefficients and the element tensor needs to be changed since the data structures look differently on the GPU (foremost they are flattened). The Jacobi computations look differently as well due to the way coordinates are stored. What I did was to provide a function override_gpu() in cpp.py that updates the cpp.format dictionary to generate the correct index into the data structures. This function is called at the beginning of codegeneration.py:generate_code if the GPU target was specified by the - -l parameter. This works for tensor representation, but not functions values (including coefficients) for quadrature, since the corresponding code is generated by the class "QuadratureTransformerBase". I'm no Python expert, but I assume the override of cpp.format on the global scope is not visible inside the class scope. Since "QuadratureTransformerBase" does not get the parameters, it cannot know if the target is GPU and override_gpu() should be called. My changes are more of a quick hack and certainly not a well-designed way to solve this. I would be happy about suggestions both to quickly fix the quadrature and also how to adapt the whole design to make it more "clean" and straightforward. (The corresponding wrapper code, which is different from the ordinary DOLFIN wrapper code, is also generated depending on the -l option, but that is a different topic, so I just mention it for the sake of completeness) I published my branch here: https://code.launchpad.net/~florian-rathgeber/ffc/gpu-wrappers Florian -----BEGIN PGP SIGNATURE----- Version: GnuPG v2.0.12 (MingW32) iEYEARECAAYFAkxWy+wACgkQ8Z6llsctAxaqDACgsafJklBYddyOzjbcRP5NCSv1 /2wAoKoXXkzgCN1xoTHKbKwChDEmmfky =OXKi -----END PGP SIGNATURE-----
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