CUSP

CUSP : A C++ Templated Sparse Matrix Library. Cusp is a library for sparse linear algebra and graph computations on CUDA. Cusp provides a flexible, high-level interface for manipulating sparse matrices and solving sparse linear systems. Get Started with Cusp today!

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References in zbMATH (referenced in 18 articles )

Showing results 1 to 18 of 18.
Sorted by year (citations)

  1. Bertaccini, Daniele; Durastante, Fabio: Solving mixed classical and fractional partial differential equations using short-memory principle and approximate inverses (2017)
  2. Li, Ang; Serban, Radu; Negrut, Dan: Analysis of a splitting approach for the parallel solution of linear systems on GPU cards (2017)
  3. Cuvelier, François; Japhet, Caroline; Scarella, Gilles: An efficient way to assemble finite element matrices in vector languages (2016)
  4. De La Cruz, Luis M.; Ramos, Eduardo: General template units for the finite volume method in box-shaped domains (2016)
  5. Rupp, Karl; Tillet, Philippe; Rudolf, Florian; Weinbub, Josef; Morhammer, Andreas; Grasser, Tibor; Jüngel, Ansgar; Selberherr, Siegfried: ViennaCL-linear algebra library for multi- and many-core architectures (2016)
  6. Gremse, Felix; Höfter, Andreas; Schwen, Lars Ole; Kiessling, Fabian; Naumann, Uwe: GPU-accelerated sparse matrix-matrix multiplication by iterative row merging (2015)
  7. Dastgeer, Usman; Li, Lu; Kessler, Christoph: The PEPPHER composition tool: performance-aware composition for GPU-based systems (2014) ioport
  8. Einkemmer, L.; Wiesenberger, M.: A conservative discontinuous Galerkin scheme for the 2D incompressible Navier-Stokes equations (2014)
  9. King, James; Yakovlev, Sergey; Fu, Zhisong; Kirby, Robert M.; Sherwin, Spencer J.: Exploiting batch processing on streaming architectures to solve 2D elliptic finite element problems: a hybridized discontinuous Galerkin (HDG) case study (2014)
  10. Koza, Zbigniew; Matyka, Maciej; Mirosław, Łukasz; Poła, Jakub: Sparse matrix-vector product (2014)
  11. Koza, Zbigniew; Matyka, Maciej; Szkoda, Sebastian; Mirosław, Łukasz: Compressed multirow storage format for sparse matrices on graphics processing units (2014)
  12. Brannick, James; Chen, Yao; Hu, Xiaozhe; Zikatanov, Ludmil: Parallel unsmoothed aggregation algebraic multigrid algorithms on GPUs (2013)
  13. Georgescu, Serban; Chow, Peter; Okuda, Hiroshi: GPU acceleration for FEM-based structural analysis (2013)
  14. Glimberg, S.L.; Engsig-Karup, A.P.; Madsen, M.G.: A fast GPU-accelerated mixed-precision strategy for fully nonlinear water wave computations (2013)
  15. Knepley, Matthew G.; Terrel, Andy R.: Finite element integration on GPGPUs (2013)
  16. Lowell, Daniel; Godwin, Jeswin; Holewinski, Justin; Karthik, Deepan; Choudary, Chekuri; Mametjanov, Azamat; Norris, Boyana; Sabin, Gerald; Sadayappan, P.; Sarich, Jason: Stencil-aware GPU optimization of iterative solvers (2013)
  17. Wang, Lu; Hu, Xiaozhe; Cohen, Jonathan; Xu, Jinchao: A parallel auxiliary grid algebraic multigrid method for graphic processing units (2013)
  18. Bell, Nathan; Dalton, Steven; Olson, Luke N.: Exposing fine-grained parallelism in algebraic multigrid methods (2012)