Algorithmic Skeletons and Parallel Design Patterns in Mainstream Parallel Programming

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Publicado en:International Journal of Parallel Programming vol. 49, no. 2 (Apr 2021), p. 177
Autor principal: Danelutto Marco
Otros Autores: Mencagli Gabriele, Torquati Massimo, González–Vélez Horacio, Kilpatrick, Peter
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Springer Nature B.V.
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100 1 |a Danelutto Marco  |u University of Pisa, Department of Computer Science, Pisa, Italy (GRID:grid.5395.a) (ISNI:0000 0004 1757 3729) 
245 1 |a Algorithmic Skeletons and Parallel Design Patterns in Mainstream Parallel Programming 
260 |b Springer Nature B.V.  |c Apr 2021 
513 |a Journal Article 
520 3 |a 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. 
653 |a Algorithms 
653 |a Parallel programming 
700 1 |a Mencagli Gabriele  |u University of Pisa, Department of Computer Science, Pisa, Italy (GRID:grid.5395.a) (ISNI:0000 0004 1757 3729) 
700 1 |a Torquati Massimo  |u University of Pisa, Department of Computer Science, Pisa, Italy (GRID:grid.5395.a) (ISNI:0000 0004 1757 3729) 
700 1 |a González–Vélez Horacio  |u National College of Ireland, Cloud Competency Centre, Dublin, Ireland (GRID:grid.462662.2) (ISNI:0000 0001 0043 9775) 
700 1 |a Kilpatrick, Peter  |u Queen’s University of Belfast, Department of Computer Science, Belfast, UK (GRID:grid.4777.3) (ISNI:0000 0004 0374 7521) 
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