State-of-The-Art Sparse Direct Solvers

July 11, 2019 Β· Declared Dead Β· πŸ› Parallel Algorithms in Computational Science and Engineering

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Authors Matthias BollhΓΆfer, Olaf Schenk, Radim JanalΓ­k, Steve Hamm, Kiran Gullapalli arXiv ID 1907.05309 Category cs.DS: Data Structures & Algorithms Citations 106 Venue Parallel Algorithms in Computational Science and Engineering Last Checked 1 month ago
Abstract
In this chapter we will give an insight into modern sparse elimination methods. These are driven by a preprocessing phase based on combinatorial algorithms which improve diagonal dominance, reduce fill-in, and improve concurrency to allow for parallel treatment. Moreover, these methods detect dense submatrices which can be handled by dense matrix kernels based on multithreaded level-3 BLAS. We will demonstrate for problems arising from circuit simulation, how the improvements in recent years have advanced direct solution methods significantly.
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