The Sparse Parallel Robust Algorithms Library (SPRAL) is an open-source library for sparse linear algebra and associated algorithms. At present, the library offers the following packages: RANDOM_MATRIX: Generates random matrices for testing purposes. SCALING: Calculates matrix scalings through a variety of algorithms. SSIDS: Sparse Symmetric Indefinte Direct Solver. Requires an NVIDIA GPU! SSMFE: Sparse Symmetric Matrix-Free Eigensolver. Uses Jacobi-conjugate preconditioned gradients method.
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- D’Ambra, Pasqua; Vassilevski, Panayot S.: Improving solve time of aggregation-based adaptive AMG. (2019)
- D’Ambra, Pasqua; Filippone, Salvatore; Vassilevski, Panayot S.: BootCMatch: a software package for bootstrap AMG based on graph weighted matching (2018)
- Hogg, Jonathan D.; Scott, Jennifer A.: Pivoting strategies for tough sparse indefinite systems (2013)