SaPGPU is a C++ template library which provides a SPIKE-based preconditioner for the solution of large-scale sparse linear solvers using Krylov-space iterative solvers on CUDA architecture GPUs. The SaPGPU library is built on top of CUSP and Thrust. Additional information available at http://sapgpu.sbel.org.
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References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Li, Ang; Serban, Radu; Negrut, Dan: Analysis of a splitting approach for the parallel solution of linear systems on GPU cards (2017)
- Serban, Radu; Melanz, Daniel; Li, Ang; Stanciulescu, Ilinca; Jayakumar, Paramsothy; Negrut, Dan: A GPU-based preconditioned Newton-Krylov solver for flexible multibody dynamics (2015)