CUDA

The NVIDIA® CUDA® Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. The CUDA Toolkit includes a compiler for NVIDIA GPUs, math libraries, and tools for debugging and optimizing the performance of your applications. You’ll also find programming guides, user manuals, API reference, and other documentation to help you get started quickly accelerating your application with GPUs.


References in zbMATH (referenced in 1131 articles , 2 standard articles )

Showing results 1041 to 1060 of 1131.
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  1. Park, Jung-Wook; Yang, Hoon-Mo; Park, Gi-Ho; Kim, Shin-Dug; Weems, Charles C.: An instruction-systolic programmable shader architecture for multi-threaded 3D graphics processing (2010) ioport
  2. Quinton, Jean-Charles: A generic library for structured real-time computations: GPU implementation applied to retinal and cortical vision processes (2010) ioport
  3. R. Capuzzo-Dolcetta, A. Mastrobuono-Battisti, D. Maschietti: NBSymple, a double parallel, symplectic N-body code running on Graphic Processing Units (2010) arXiv
  4. Ren, Da Qi; Suda, Reiji: Modeling and optimizing the power performance of large matrices multiplication on multi-core and GPU platform with CUDA (2010) ioport
  5. Rossinelli, Diego; Bergdorf, Michael; Cottet, Georges-Henri; Koumoutsakos, Petros: GPU accelerated simulations of bluff body flows using vortex particle methods (2010)
  6. Rostrup, Scott; De Sterck, Hans: Parallel hyperbolic PDE simulation on clusters: Cell versus GPU (2010)
  7. Rubeša, Jelena; Kunisch, Karl: Semi-smooth Newton methods for the time optimal control of nonautonomous ordinary differential equations (2010)
  8. Ruggiero, Valeria; Serafini, Thomas; Zanella, Riccardo; Zanni, Luca: Iterative regularization algorithms for constrained image deblurring on graphics processors (2010)
  9. Sainio, J.: \textttCUDAEASY-- a GPU accelerated cosmological lattice program (2010)
  10. Sanketh, Datla; Niyogi, Rajdeep: An accelerated MJPEG 2000 encoder using compute unified device architecture (2010)
  11. Stivala, Alex; Stuckey, Peter J.; De La Banda, Maria Garcia; Hermenegildo, Manuel; Wirth, Anthony: Lock-free parallel dynamic programming (2010)
  12. Sunarso, Alfeus; Tsuji, Tomohiro; Chono, Shigeomi: GPU-accelerated molecular dynamics simulation for study of liquid crystalline flows (2010)
  13. Surkov, Vladimir: Parallel option pricing with Fourier space time-stepping method on graphics processing units (2010)
  14. Szirmay-Kalos, L.; Tóth, B.; Magdics, M.; Légrády, D.; Penzov, A.: Gamma photon transport on the GPU for PET (2010)
  15. Tickner, James: Monte Carlo simulation of X-ray and gamma-ray photon transport on a graphics-processing unit (2010)
  16. Tölke, Jonas: Implementation of a lattice Boltzmann kernel using the compute unified device architecture developed by nVIDIA (2010) ioport
  17. Tomov, Stanimire; Dongarra, Jack; Baboulin, Marc: Towards dense linear algebra for hybrid GPU accelerated manycore systems (2010)
  18. Tomov, Stanimire; Nath, Rajib; Dongarra, Jack: Accelerating the reduction to upper Hessenberg, tridiagonal, and bidiagonal forms through hybrid GPU-based computing (2010)
  19. Vidal, Pablo; Alba, Enrique: Cellular genetic algorithm on graphic processing units (2010)
  20. Vingelmann, Péter; Fitzek, Frank H. P.: Implementation of random linear network coding using nvidia’s CUDA toolkit (2010)

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