Section: New Results

Sparse GMRES on heterogeneous platforms in oil extraction simulation

Participants : Olivier Aumage, Corentin Rossignon, Samuel Thibault.

• We started a study on sparse matrix factorization and system resolution on heterogeneous platforms in collaboration with Pascal Hénon from company Total, in the context of oil extraction simulation. Sparse matrix computations are notoriously difficult to efficiently run on heterogeneous platforms in the general case due to the irregular memory access patterns they generate.

• However, in the specific context of this study, Corentin Rossignon showed as part of his Master Thesis [56] that the sparsity layout of matrices generated by such oil extraction simulation problems can lead to a much higher level of efficiency on hetereogeneous platforms thanks when using a suitable sparse internal representation together with carefully written operators such as the sparse matrix-vector product together with the StarPU heterogeneous scheduler.

• Corentin Rossignon is now starting a Phd. Thesis in partnership with Total to build on these promising results.