Eric Violard

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We present load-balancing strategies to improve the performances of parallel MPI applications running in a Grid environment. We analyze the data distribution constraints found in two scientific codes and propose adapted code transformations to load-balance computations. Experimental results confirm that such source code transformations can improve Grid(More)
This paper presents an efficient parallel implementation of a Vlasov solver. Our implementation is based on an adaptive numerical scheme of resolution. The underlying numerical method uses a dyadic mesh which is particularly well suited to manage data locality. We have developed an adapted data distribution pattern based on a division of the computational(More)
We present a parallel algorithm for solving the 4D Vlasov equation. Our algorithm is designed for distributed memory architec-tures. It uses an adaptive numerical method which reduces computational cost. This adaptive method is a semi-Lagrangian scheme based on hierarchical finite elements. It involves a local interpolation operator. Our algorithm handles(More)