mlsanityData to 7 Oct 2026

State-of-The-Art Sparse Direct Solvers

arXiv 1907.05309 ↗First posted 11 Jul 2019cs.DScited by 1

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). First posted on arXiv 11 Jul 2019.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2025: 1.

1 paper.