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 1234 articles , 2 standard articles )

Showing results 1 to 20 of 1234.
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  1. Algosaibi, Abdulelah A.: High-performance computing based approach for improving semantic-based federated data processing (2021)
  2. Anton Afanasyev, Mauro Bianco, Lukas Mosimann, Carlos Osuna, Felix Thaler, Hannes Vogt, Oliver Fuhrer, Joost VandeVondele, Thomas C. Schulthess: GridTools: A framework for portable weather and climate applications (2021) not zbMATH
  3. Ayoub Benaissa, Bilal Retiat, Bogdan Cebere, Alaa Eddine Belfedhal: TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption (2021) arXiv
  4. Bosner, Nela: Parallel Prony’s method with multivariate matrix pencil approach and its numerical aspects (2021)
  5. Bouyukliev, Iliya; Bouyuklieva, Stefka; Maruta, Tatsuya; Piperkov, Paskal: Characteristic vector and weight distribution of a linear code (2021)
  6. Brown et al.: libCEED: Fast algebra for high-order element-based discretizations (2021) not zbMATH
  7. Christopher P. Bridge, Chris Gorman, Steven Pieper, Sean W. Doyle, Jochen K. Lennerz, Jayashree Kalpathy-Cramer, David A. Clunie, Andriy Y. Fedorov, Markus D. Herrmann: Highdicom: A Python library for standardized encoding of image annotations and machine learning model outputs in pathology and radiology (2021) arXiv
  8. Crespin, B.; Clerc, M. G.; Jara-Schulz, G.; Kowalczyk, M.: Particle-based numerical modeling of a thin granular layer subjected to oscillating flow (2021)
  9. Darian, Hossein Mahmoodi: Investigation of C++ variadic templates for numerical methods and finite difference schemes (2021)
  10. DeCaria, Victor; Schneier, Michael: An embedded variable step IMEX scheme for the incompressible Navier-Stokes equations (2021)
  11. Dessole, M.; Marcuzzi, F.: A massively parallel algorithm for bordered almost block diagonal systems on GPUs (2021)
  12. Dong, W.; Kang, B.: Evaluation of gas sales agreements with indexation using tree and least-squares Monte Carlo methods on graphics processing units (2021)
  13. Eichler, Pavel; Fučík, Radek; Straka, Robert: Computational study of immersed boundary-lattice Boltzmann method for fluid-structure interaction (2021)
  14. Elizabeth D. Gregory, William C. Schneck, Erik L. Frankforter: swSim: Solid wave simulation (2021) not zbMATH
  15. Ghosh, Abhijit; Mishra, Chittaranjan: A parallel cyclic reduction algorithm for pentadiagonal systems with application to a convection-dominated Heston PDE (2021)
  16. Giniyatova, D. Kh.; Tumakov, D. N.; Markina, A. G.: Solving the problem of electromagnetic wave diffraction by a flat screen using CUDA (2021)
  17. Hegedűs, Ferenc: Program package MPGOS: challenges and solutions during the integration of a large number of independent ODE systems using GPUs (2021)
  18. Ji, Zhe; Fu, Lin; Hu, Xiangyu; Adams, Nikolaus: A feature-aware SPH for isotropic unstructured mesh generation (2021)
  19. Joubert, Johannes C.; Wilke, Daniel N.; Govender, Nicolin; Pizette, Patrick; Basic, Josip; Abriak, Nor-Edine: Boundary condition enforcement for renormalised weakly compressible meshless Lagrangian methods (2021)
  20. Koga, Kazuki: Signal processing approach to mesh refinement in simulations of axisymmetric droplet dynamics (2021)

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