Languages and Compilers for Parallel Computing [electronic resource] : 23rd International Workshop, LCPC 2010, Houston, TX, USA, October 7-9, 2010. Revised Selected Papers / edited by Keith Cooper, John Mellor-Crummey, Vivek Sarkar.
Contributor(s): Cooper, Keith [editor.]
| Mellor-Crummey, John [editor.] | Sarkar, Vivek [editor.] | SpringerLink (Online service).
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BookSeries: Theoretical Computer Science and General Issues: 6548Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011Edition: 1st ed. 2011.Description: X, 278 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642195952.Subject(s): Compilers (Computer programs) | Computer programming | Artificial intelligence -- Data processing | Artificial intelligence | Computer science | Computer networks | Compilers and Interpreters | Programming Techniques | Data Science | Artificial Intelligence | Models of Computation | Computer Communication NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.45 Online resources: Click here to access online
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Springer Nature eBookSummary: This book constitutes the thoroughly refereed post-proceedings of the 23rd International Workshop on Languages and Compilers for Parallel Computing, LCPC 2010, held in Houston, TX, USA, in October 2010. The 18 revised full papers presented were carefully reviewed and selected from 47 submissions. The scope of the workshop spans foundational results and practical experience, and targets all classes of parallel platforms in- cluding concurrent, multithreaded, multicore, accelerated, multiprocessor, and cluster systems.
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This book constitutes the thoroughly refereed post-proceedings of the 23rd International Workshop on Languages and Compilers for Parallel Computing, LCPC 2010, held in Houston, TX, USA, in October 2010. The 18 revised full papers presented were carefully reviewed and selected from 47 submissions. The scope of the workshop spans foundational results and practical experience, and targets all classes of parallel platforms in- cluding concurrent, multithreaded, multicore, accelerated, multiprocessor, and cluster systems.
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