|Publisher DOI:||10.1016/j.amc.2014.12.055||arXiv ID:||1409.8563v2||Title:||A stencil-based implementation of Parareal in the C++ domain specific embedded language STELLA||Language:||English||Authors:||Arteaga, Andrea
|Keywords:||Energy consumption;Parallel-in-time;Parareal;Speedup;STELLA;Stencil computation;Computer Science - Distributed; Parallel; and Cluster Computing;Computer Science - Distributed; Parallel; and Cluster Computing;Mathematics - Numerical Analysis||Issue Date:||15-Sep-2015||Source:||Applied Mathematics and Computation 267: 727-741 (2015-09-15)||Journal:||Applied mathematics and computation||Abstract (english):||
In view of the rapid rise of the number of cores in modern supercomputers, time-parallel methods that introduce concurrency along the temporal axis are becoming increasingly popular. For the solution of time-dependent partial differential equations, these methods can add another direction for concurrency on top of spatial parallelization. The paper presents an implementation of the time-parallel Parareal method in a C++ domain specific language for stencil computations (STELLA). STELLA provides both an OpenMP and a CUDA backend for a shared memory parallelization, using the CPU or GPU inside a node for the spatial stencils. Here, we intertwine this node-wise spatial parallelism with the time-parallel Parareal. This is done by adding an MPI-based implementation of Parareal, which allows us to parallelize in time across nodes. The performance of Parareal with both backends is analyzed in terms of speedup, parallel efficiency and energy-to-solution for an advection-diffusion problem with a time-dependent diffusion coefficient.
|URI:||http://hdl.handle.net/11420/10523||ISSN:||0096-3003||Document Type:||Article||Peer Reviewed:||Yes|
|Appears in Collections:||Publications without fulltext|
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