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.
by Cooper, Keith [editor.]; Mellor-Crummey, John [editor.]; Sarkar, Vivek [editor.]; SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 6548Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.Description: X, 278 p. online resource.ISBN: 9783642195952.Subject(s): Computer science | Computer Communication Networks | Data structures (Computer science) | Electronic data processing | Computer Science | Programming Languages, Compilers, Interpreters | Programming Techniques | Data Structures | Computing Methodologies | Models and Principles | Computer Communication NetworksDDC classification: 005.13 Online resources: Click here to access online
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Springer eBooksSummary: 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.
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| QA76.76.C65 (Browse shelf) | Available | ||||
| Long Loan | MAIN LIBRARY | QA76.7-76.73 (Browse shelf) | Available |
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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