A Partitioning Strategy for Nonuniform Problems on Multiprocessors
IEEE Transactions on Computers
A static partitioning and mapping algorithm for conservative parallel simulations
PADS '94 Proceedings of the eighth workshop on Parallel and distributed simulation
The semi-Lagrangian method for the numerical resolution of the Vlasov equation
Journal of Computational Physics
A ghost cell expansion method for reducing communications in solving PDE problems
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
A Parallel Vlasov Solver Using a Wavelet Based Adaptive Mesh Refinement
ICPPW '05 Proceedings of the 2005 International Conference on Parallel Processing Workshops
Load-Balancing for a Block-Based Parallel Adaptive 4D Vlasov Solver
Euro-Par '08 Proceedings of the 14th international Euro-Par conference on Parallel Processing
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We present a parallel algorithm for solving the 4D Vlasov equation. Our algorithm is designed for distributed memory architectures. 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 both irregular data dependencies and the big amount of data by distributing data into blocks. Performance measurements on a PC cluster's confirm the pertinence of our approach. This work is a part of the CALVI project.