DOE OSTI · code-147360
pnnl/LAP
Abstract
A software framework to study, from the performance and energy perspective, the efficacy of GPU-resident parallel Conjugate Gradient (CG) linear solver with different preconditioner options, including Gauss-Seidel, Jacobi, and incomplete Cholesky. We also propose a novel GPU-based preconditioner, in which the triangular solves are approximated by an iterative process
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Swirydowicz, Kasia, Firoz, Jesun Sahariar. 2024-11-11. pnnl/LAP. https://doi.org/10.11578/dc.20241111.1
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