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 121 articles )

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  1. Bock, Nicolas; Challacombe, Matt; Kalé, Laxmikant V.: Solvers for $\mathcalO(N)$ electronic structure in the strong scaling limit (2016)
  2. Mantas, José Miguel; de la Asunción, Marc; Castro, Manuel J.: An introduction to GPU computing for numerical simulation (2016)
  3. Michailidis, Panagiotis D.; Margaritis, Konstantinos G.: Scientific computations on multi-core systems using different programming frameworks (2016)
  4. Riesinger, Christoph; Neckel, Tobias; Rupp, Florian: Solving random ordinary differential equations on GPU clusters using multiple levels of parallelism (2016)
  5. Abraham, Goodhead Tomvie; James, Anne; Yaacob, Norlaily: Priority-grouping method for parallel multi-scheduling in grid (2015)
  6. Andersen, Timothy D.; Mascagni, Michael: Memory efficient lagged-Fibonacci random number generators for GPU supercomputing (2015)
  7. 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)
  8. Cao, Thanh-Tung; Edelsbrunner, Herbert; Tan, Tiow-Seng: Triangulations from topologically correct digital Voronoi diagrams (2015)
  9. D’Agostino, Daniele; Seinstra, Frank J.: A parallel isosurface extraction component for visualization pipelines executing on GPU clusters (2015)
  10. Gorobets, A.V.: Parallel technology for numerical modeling of fluid dynamics problems by high-accuracy algorithms (2015)
  11. Kohek, Štefan; Strnad, Damjan: Interactive synthesis of self-organizing tree models on the GPU (2015)
  12. Müthing, Steffen; Ribbrock, Dirk; Göddeke, Dominik: Integrating multi-threading and accelerators into DUNE-ISTL (2015)
  13. Paulino, Hervé; Marques, Eduardo: Heterogeneous programming with single operation multiple data (2015)
  14. Ploskas, Nikolaos; Samaras, Nikolaos: Efficient GPU-based implementations of simplex type algorithms (2015)
  15. Praetorius, Simon; Voigt, Axel: Development and analysis of a block-preconditioner for the phase-field crystal equation (2015)
  16. Sætra, Martin L.; Brodtkorb, André R.; Lie, Knut-Andreas: Efficient GPU-implementation of adaptive mesh refinement for the shallow-water equations (2015)
  17. Bigot, Julien; Hou, Zhengxiong; Pérez, Christian; Pichon, Vincent: A low level component model easing performance portability of HPC applications (2014)
  18. Buse, Gerrit; Pflüger, Dirk; Jacob, Riko: Efficient pseudorecursive evaluation schemes for non-adaptive sparse grids (2014)
  19. Bychin, I.V.; Galkin, V.A.; Gavrilenko, T.V.; Gorelikov, A.V.; Ryakhovsky, A.V.: Software for numerical simulation of convection in spherical shells for hybrid CPU/GPU computing systems (2014)
  20. Charrier, Patrick; Klimek, Mariusz; Steinmetz, Christian; Hildenbrand, Dietmar: Geometric algebra enhanced precompiler for C++, OpenCL and Mathematica’s OpenCLLink (2014)

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