Algorithmic Skeletons and Parallel Design Patterns in Mainstream Parallel Programming
| Autor: | Gabriele Mencagli, Peter Kilpatrick, Massimo Torquati, Marco Danelutto, Horacio González–Vélez |
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| Rok vydání: | 2020 |
| Předmět: |
Parallel computing
Underpinning Relation (database) Computer science Process (engineering) 02 engineering and technology Theoretical Computer Science 03 medical and health sciences 0302 clinical medicine 020204 information systems 0202 electrical engineering electronic engineering information engineering Mainstream Algorithmic skeleton Algorithmic skeletons High performance computing Multi-core architecture Parallel design patterns Parallel design Supercomputer Theory of computation 030217 neurology & neurosurgery Software Information Systems |
| Zdroj: | Danelutto, M, Mencagli, G, Torquati, M, González–Vélez, H & Kilpatrick, P 2020, ' Algorithmic Skeletons and Parallel Design Patterns in Mainstream Parallel Programming ', International Journal of Parallel Programming . https://doi.org/10.1007/s10766-020-00684-w |
| ISSN: | 1573-7640 0885-7458 |
| Popis: | This paper discusses the impact of structured parallel programming methodologies in state-of-the-art industrial and research parallel programming frameworks. We first recap the main ideas underpinning structured parallel programming models and then present the concepts of algorithmic skeletons and parallel design patterns. We then discuss how such concepts have permeated the wider parallel programming community. Finally, we give our personal overview—as researchers active for more than two decades in the parallel programming models and frameworks area—of the process that led to the adoption of these concepts in state-of-the-art industrial and research parallel programming frameworks, and the perspectives they open in relation to the exploitation of forthcoming massively-parallel (both general and special-purpose) architectures. |
| Databáze: | OpenAIRE |
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