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 1027 articles , 2 standard articles )

Showing results 1 to 20 of 1027.
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  1. Acer, Seher; Kayaaslan, Enver; Aykanat, Cevdet: A hypergraph partitioning model for profile minimization (2019)
  2. Daniel Smilkov, Nikhil Thorat, Yannick Assogba, Ann Yuan, Nick Kreeger, Ping Yu, Kangyi Zhang, Shanqing Cai, Eric Nielsen, David Soergel, Stan Bileschi, Michael Terry, Charles Nicholson, Sandeep N. Gupta, Sarah Sirajuddin, D. Sculley, Rajat Monga, Greg Corrado, Fernanda B. Viegas, Martin Wattenberg: TensorFlow.js: Machine Learning for the Web and Beyond (2019) arXiv
  3. Defez, Emilio; Ibáñez, Javier; Peinado, Jesús; Sastre, Jorge; Alonso-Jordá, Pedro: An efficient and accurate algorithm for computing the matrix cosine based on new Hermite approximations (2019)
  4. Liu, Rex Kuan-Shuo; Wu, Cheng-Tao; Kao, Neo Shih-Chao; Sheu, Tony Wen-Hann: An improved mixed Lagrangian-Eulerian (IMLE) method for modelling incompressible Navier-Stokes flows with CUDA programming on multi-gpus (2019)
  5. Małysiak-Mrozek, Bożena: Uncertainty, imprecision, and many-valued logics in protein bioinformatics (2019)
  6. Mossaiby, Farshid; Joulaian, Meysam; Düster, Alexander: The spectral cell method for wave propagation in heterogeneous materials simulated on multiple GPUs and CPUs (2019)
  7. Abbas-Turki, Lokman A.; Crépey, Stéphane; Diallo, Babacar: XVA principles, nested Monte Carlo strategies, and GPU optimizations (2018)
  8. Akhtar, Muhammad Naveed; Durad, Muhammad Hanif; Usman, Anila; Mughal, Muhammad Abid: Efficient memory access patterns for solving 3D Laplace equation on GPU (2018)
  9. Alimirzazadeh, Siamak; Jahanbakhsh, Ebrahim; Maertens, Audrey; Leguizamón, Sebastián; Avellan, François: GPU-accelerated 3-D finite volume particle method (2018)
  10. Alpak, F. Omer; Gray, F.; Saxena, N.; Dietderich, J.; Hofmann, R.; Berg, S.: A distributed parallel multiple-relaxation-time lattice Boltzmann method on general-purpose graphics processing units for the rapid and scalable computation of absolute permeability from high-resolution 3D micro-CT images (2018)
  11. Appelö, Daniel; Hagstrom, Thomas; Vargas, Arturo: Hermite methods for the scalar wave equation (2018)
  12. Cavoretto, Roberto; Schneider, Teseo; Zulian, Patrick: \textscOpenCLbased parallel algorithm for RBF-PUM interpolation (2018)
  13. Chen, Tianran: libtropicon: a scalable library for computing intersection points of generic tropical hyper-surfaces (2018)
  14. Cowles, Mary Kathryn; Bonett, Stephen; Seedorff, Michael: Independent sampling for Bayesian normal conditional autoregressive models with OpenCL acceleration (2018)
  15. D’Amore, Luisa; Romano, Diego: An objective criterion for stopping light-surface interaction. Numerical validation and quality assessment (2018)
  16. Dauch, T. F.; Rapp, T.; Chaussonnet, G.; Braun, S.; Keller, M. C.; Kaden, J.; Koch, R.; Dachsbacher, C.; Bauer, H.-J.: Highly efficient computation of finite-time Lyapunov exponents (FTLE) on GPUs based on three-dimensional SPH datasets (2018)
  17. David Diaz-Guerra, Antonio Miguel, Jose R. Beltran: gpuRIR: A python library for Room Impulse Response simulation with GPU acceleration (2018) arXiv
  18. Defez, Emilio; Ibáñez, Javier; Sastre, Jorge; Peinado, Jesús; Alonso, Pedro: A new efficient and accurate spline algorithm for the matrix exponential computation (2018)
  19. Diaz, Manuel A.; Solovchuk, Maxim A.; Sheu, Tony W. H.: High-performance multi-GPU solver for describing nonlinear acoustic waves in homogeneous thermoviscous media (2018)
  20. Dimarco, Giacomo; Loubère, Raphaël; Narski, Jacek; Rey, Thomas: An efficient numerical method for solving the Boltzmann equation in multidimensions (2018)

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