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 1070 articles , 2 standard articles )

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  1. Yan, Yonghong; Grossman, Max; Sarkar, Vivek: JCUDA: A programmer-friendly interface for accelerating Java programs with CUDA (2009) ioport
  2. Zhao, Hanli; Jin, Xiaogang; Lu, Shufang; Mao, Xiaoyang; Shen, Jianbing: AtelierM++: a fast and accurate marbling system (2009) ioport
  3. Anderson, Joshua A.; Lorenz, Chris D.; Travesset, A.: General purpose molecular dynamics simulations fully implemented on graphics processing units (2008)
  4. Che, Shuai; Boyer, Michael; Meng, Jiayuan; Tarjan, David; Sheaffer, Jeremy W.; Skadron, Kevin: A performance study of general-purpose applications on graphics processors using CUDA (2008) ioport
  5. Do, Thanh-Nghi; Nguyen, Van-Hoa; Poulet, François: A fast parallel SVM algorithm for massive classification tasks (2008)
  6. Elsen, Erich; LeGresley, Patrick; Darve, Eric: Large calculation of the flow over a hypersonic vehicle using a GPU (2008)
  7. Gumerov, Nail A.; Duraiswami, Ramani: Fast multipole methods on graphics processors (2008)
  8. Gutierrez, Eladio; Romero, Sergio; Trenas, Maria A.; Zapata, Emilio L.: Parallel quantum computer simulation on the CUDA architecture (2008) ioport
  9. Ho, Tze-Yui; Lam, Ping-Man; Leung, Chi-Sing: Parallelization of cellular neural networks on GPU (2008)
  10. Ibrahim, Khaled Z.; Bodin, François; Pène, Olivier: Fine-grained parallelization of lattice QCD kernel routine on GPUs (2008) ioport
  11. Langdon, W. B.; Harrison, A. P.: GP on SPMD parallel graphics hardware for mega bioinformatics data mining (2008) ioport
  12. Liu, Weiguo; Schmidt, Bertil; Voss, Gerrit; Müller-Wittig, Wolfgang: Accelerating molecular dynamics simulations using graphics processing units with CUDA (2008) ioport
  13. Nickolls, John; Buck, Ian; Garland, Michael; Skadron, Kevin: Scalable parallel programming with CUDA (2008) ioport
  14. Okitsu, Yusuke; Ino, Fumihiko; Hagihara, Kenichi: Accelerating cone beam reconstruction using the CUDA-enabled GPU (2008) ioport
  15. Peyton Jones, Simon; Leshchinskiy, Roman; Keller, Gabriele; Chakravarty, Manuel M. T.: Harnessing the multicores: nested data parallelism in Haskell (2008)
  16. Ruiz, Antonio; Ujaldon, Manuel; Cooper, Lee; Huang, Kun: Non-rigid registration for large sets of microscopic images on graphics processors (2008) ioport
  17. Ryoo, Shane; Rodrigues, Christopher I.; Stone, Sam S.; Stratton, John A.; Ueng, Sain-Zee; Baghsorkhi, Sara S.; Hwu, Wen-Mei W.: Program optimization carving for GPU computing (2008) ioport
  18. Sanderson, Allen R.; Meyer, Miriah D.; Kirby, Robert M.; Johnson, Chris R.: A framework for exploring numerical solutions of advection-reaction-diffusion equations using a GPU-based approach (2008) ioport
  19. Schenk, Olaf; Christen, Matthias; Burkhart, Helmar: Algorithmic performance studies on graphics processing units (2008) ioport
  20. Sintorn, Erik; Assarsson, Ulf: Fast parallel GPU-sorting using a hybrid algorithm (2008)

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