1. State-of-The-Art Sparse Direct Solvers
- Author
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Bollhöfer, Matthias, Schenk, Olaf, Janalík, Radim, Hamm, Steve, and Gullapalli, Kiran
- Subjects
FOS: Computer and information sciences ,Computer Science - Data Structures and Algorithms ,Data Structures and Algorithms (cs.DS) - 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.
- Published
- 2019
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