• Suche: Structured parallel programming

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161

Incremental Entity Blocking over Heterogeneous Streaming Data.
Araújo, Tiago Brasileiro ; Stefanidis, Kostas ; Pires, Carlos Eduardo Santos ; et al.
Information. Dec2022, Vol. 13 Issue 12, p568. 38p.

Algorithms Parallel programming Spelling errors Neighborhoods Feature selection
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162

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163

A Component Language for Structured Parallel Programming.
Lightfoot, David E. ; Szyperski, Clemens A. ; Bläser, Luc
Modular Programming Languages (9783540409274); 2006, p230-250, 21p

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164

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165

Variable grain architectures for MPP computation and structured parallel programming
Vanneschi, M.
Proceedings. Third Working Conference on Massively Parallel Programming Models (Cat. No.97TB100228) ; page 132-139

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166

Structured Parallel Programming with Trees
Structured Parallel Programming with Trees.

Dissertation
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167

A scalable tuple space model for structured parallel programming
Corradi, A. ; Zambonelli, F. ; Leonardi, L.
Programming Models for Massively Parallel Computers ; page 25-32

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168

Explicit parallel programming
Gamble, James Graham ; Gamble, James Graham

E-Ressource
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169

State access patterns in stream parallel computations.
Danelutto, Marco ; Kilpatrick, Peter ; Mencagli, Gabriele ; et al.
International Journal of High Performance Computing Applications; Nov2018, Vol. 32 Issue 6, p807-818, 12p

PARALLEL programming HIGH performance computi... PARALLEL processing SCALABILITY COMPUTER architecture
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171

Targeting Heterogeneous Architectures in ASSIST: Experimental Results
ALDINUCCI, MARCO ; Sonia Campa ; Massimo Coppola ; et al.
Lecture Notes in Computer Science ISBN: 9783540229247
EuroPar2004: Parallel and Distributed Computing, pp. 638–643, Pisa, Italy, September 2004
info:cnr-pdr/source/autori:Aldinucci M.; Campa S.; Coppola M.; Magini S.; Pesciullesi P.; Potiti L.; Ravazzolo R.; Torquati M.; Zoccolo C./congresso_nome:EuroPar2004: Parallel and Distributed Computing/congresso_luogo:Pisa, Italy/congresso_data:September 2004/anno:2004/pagina_da:638/pagina_a:643/intervallo_pagine:638–643

Structured parallel prog... structured parallel prog... heterogeneous workstatio... shared memory Heterogeneous workstatio... Shared memory …
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172

'SEQ OF PAR' style structured parallel programming
Wei Yuan ; Yongqiang Sun
Proceedings. Advances in Parallel and Distributed Computing ; page 82-89

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173

Bayesian hierarchical models for analysing the spatial distribution of bioclimatic indices
Barber, Xavier ; Conesa, David ; Lopez-Quílez, Antonio ; et al.
SORT- Statistics and Operations Research Transactions; 2017: Vol.: 41 Núm.: 2 July-December; p. 277-296
SORT-Statistics and Operations Research Transactions; 2017: Vol.: 41 Núm.: 2 July-December; p. 277-296

Bioclimatology geostatistics parallel computation spatial prediction 62F15 62M30 …
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175

A Green Perspective on Structured Parallel Programming.
Danelutto, Marco ; Torquati, Massimo ; Kilpatrick, Peter
2015 23rd Euromicro International Conference on Parallel, Distributed & Network-Based Processing; 2015, p430-437, 8p

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176

Dynamicity in distributed applications: issues, problems and the ASSIST approach
Vanneschi, M. ; Veraldi, L.
In Parallel Computing 2007 33(12):822-845

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177

Structured Parallel Programming with ˵core″ FastFlow.
Danelutto, Marco ; Torquati, Massimo
Central European Functional Programming School 5th Summer School, CEFP 2013, Cluj-Napoca, Romania, July 8-20, 2013, Revised Selected Papers; 2015, p29-75, 47p

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178

Self-adaptive abstractions for efficient high-level parallel computing in multi-cores
Fernandes, Luiz Gustavo Leão ; Danelutto, Marco ; Griebler, Dalvan Jair ; et al.

E-Ressource
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179

A power-aware, self-adaptive macro data flow framework
DANELUTTO, MARCO ; DE SENSI, DANIELE ; TORQUATI, MASSIMO ; et al.

dataflow Power-aware computing self-adaptive computing structured parallel prog... Theoretical Computer Sci... Software …
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180

Muskel: a skeleton library supporting skeleton set expandability
Aldinucci M ; Danelutto M ; Dazzi P
Scalable Computing. Practice and Experience 8 (2007): 325–341.
info:cnr-pdr/source/autori:Dazzi P.; Danelutto M.; Aldinucci M./titolo:Muskel: a skeleton library supporting skeleton set expandability/doi:/rivista:Scalable Computing. Practice and Experience/anno:2007/pagina_da:325/pagina_a:341/intervallo_pagine:325–341/volume:8

Structured parallel prog... Algoritmical skeletons algoritmical skeletons data flow structured parallel prog... Dataflow
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