OpenCL

OpenCL™ is the first open, royalty-free standard for cross-platform, parallel programming of modern processors found in personal computers, servers and handheld/embedded devices. OpenCL (Open Computing Language) greatly improves speed and responsiveness for a wide spectrum of applications in numerous market categories from gaming and entertainment to scientific and medical software.


References in zbMATH (referenced in 143 articles )

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  1. Afzal, Asif; Ansari, Zahid; Rimaz Faizabadi, Ahmed; Ramis, M.K.: Parallelization strategies for computational fluid dynamics software: state of the art review (2017)
  2. Cedric Nugteren: CLBlast: A Tuned OpenCL BLAS Library (2017) arXiv
  3. Julián-Moreno, Guillermo; López de Vergara, Jorge E.; González, Iván; de Pedro, Luis; Royuela-del-Val, Javier; Simmross-Wattenberg, Federico: Fast parallel $\alpha $-stable distribution function evaluation and parameter estimation using OpenCL in GPGPUs (2017)
  4. Lefticaru, Raluca; Macías-Ramos, Luis F.; Niculescu, Ionuţ Mihai; Mierlă, Laurenţiu: Agent-based simulation of kernel P systems with division rules using FLAME (2017)
  5. Li, Ang; Serban, Radu; Negrut, Dan: Analysis of a splitting approach for the parallel solution of linear systems on GPU cards (2017)
  6. Peter Steinbach, Matthias Werner: gearshifft - The FFT Benchmark Suite for Heterogeneous Platforms (2017) arXiv
  7. Tingelstad, Lars; Egeland, Olav: Automatic multivector differentiation and optimization (2017)
  8. Bock, Nicolas; Challacombe, Matt; Kalé, Laxmikant V.: Solvers for $\mathcalO(N)$ electronic structure in the strong scaling limit (2016)
  9. Karakus, A.; Warburton, T.; Aksel, M.H.; Sert, C.: A GPU accelerated level set reinitialization for an adaptive discontinuous Galerkin method (2016)
  10. Mantas, José Miguel; de la Asunción, Marc; Castro, Manuel J.: An introduction to GPU computing for numerical simulation (2016) ioport
  11. Matthew Moskewicz, Forrest Iandola, Kurt Keutzer: Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms (2016) arXiv
  12. Michailidis, Panagiotis D.; Margaritis, Konstantinos G.: Scientific computations on multi-core systems using different programming frameworks (2016)
  13. Riesinger, Christoph; Neckel, Tobias; Rupp, Florian: Solving random ordinary differential equations on GPU clusters using multiple levels of parallelism (2016)
  14. 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)
  15. Rupp, Karl; Weinbub, Josef; Jüngel, Ansgar; Grasser, Tibor: Pipelined iterative solvers with kernel fusion for graphics processing units (2016)
  16. Abraham, Goodhead Tomvie; James, Anne; Yaacob, Norlaily: Priority-grouping method for parallel multi-scheduling in grid (2015)
  17. Andersen, Timothy D.; Mascagni, Michael: Memory efficient lagged-Fibonacci random number generators for GPU supercomputing (2015)
  18. Buša, Ján jun.; Buša, Ján; Hayryan, Shura; Hu, Chin-Kun; Wu, Ming-Chya: CAVE-CL: an OpenCL version of the package for detection and quantitative analysis of internal cavities in a system of overlapping balls: application to proteins (2015)
  19. Cao, Thanh-Tung; Edelsbrunner, Herbert; Tan, Tiow-Seng: Triangulations from topologically correct digital Voronoi diagrams (2015)
  20. Casoni, E.; Jérusalem, A.; Samaniego, C.; Eguzkitza, B.; Lafortune, P.; Tjahjanto, D.D.; Sáez, X.; Houzeaux, G.; Vázquez, M.: Alya: computational solid mechanics for supercomputers (2015)

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