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Topics in parallel and distributed computing : [electronic resource] introducing concurrency in undergraduate courses /

by Prasad, Sushil K [editor.]; Gupta, Anshul [editor.]; Rosenberg, Arnold L [editor.]; Sussman, Alan [editor.]; Weems, Chip [editor.].
Material type: materialTypeLabelBookPublisher: Amsterdam : Elsevier, 2015.Description: 1 online resource.ISBN: 9780128039380; 0128039388.Subject(s): Parallel processing (Electronic computers) | COMPUTERS -- Computer Literacy | COMPUTERS -- Computer Science | COMPUTERS -- Data Processing | COMPUTERS -- Hardware -- General | COMPUTERS -- Information Technology | COMPUTERS -- Machine Theory | COMPUTERS -- Reference | Parallel processing (Electronic computers) | Parallell databehandling | Distribuerade system | Elektronisk databehandling | Electronic books | Electronic book | Electronic booksOnline resources: ScienceDirect
Contents:
Part 1. For instructors -- Part 2. For students.
Summary: Annotation "Topics in Parallel and Distributed Computing "provides resources and guidance for those learning PDC as well as those teaching students new to the discipline. The pervasiveness of computing devices containing multicore CPUs and GPUs, including home and office PCs, laptops, and mobile devices, is making even common users dependent on parallel processing. Certainly, it is no longer sufficient for even basic programmers to acquire only the traditional sequential programming skills. The preceding trends point to the need for imparting a broad-based skill set in PDC technology. However, the rapid changes in computing hardware platforms and devices, languages, supporting programming environments, and research advances, poses a challenge both for newcomers and seasoned computer scientists. This edited collection has been developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts into courses throughout computer science curricula. Contributed and developed by the leading minds in parallel computing research and instructionProvides resources and guidance for those learning PDC as well as those teaching students new to the disciplineSuccinctly addresses a range of parallel and distributed computing topicsPedagogically designed to ensure understanding by experienced engineers and newcomers Developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts.
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Online resource; title from PDF title page (EBSCO, viewed September 29, 2015).

Includes bibliographical references and index.

Annotation "Topics in Parallel and Distributed Computing "provides resources and guidance for those learning PDC as well as those teaching students new to the discipline. The pervasiveness of computing devices containing multicore CPUs and GPUs, including home and office PCs, laptops, and mobile devices, is making even common users dependent on parallel processing. Certainly, it is no longer sufficient for even basic programmers to acquire only the traditional sequential programming skills. The preceding trends point to the need for imparting a broad-based skill set in PDC technology. However, the rapid changes in computing hardware platforms and devices, languages, supporting programming environments, and research advances, poses a challenge both for newcomers and seasoned computer scientists. This edited collection has been developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts into courses throughout computer science curricula. Contributed and developed by the leading minds in parallel computing research and instructionProvides resources and guidance for those learning PDC as well as those teaching students new to the disciplineSuccinctly addresses a range of parallel and distributed computing topicsPedagogically designed to ensure understanding by experienced engineers and newcomers Developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts.

Part 1. For instructors -- Part 2. For students.

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Last Updated on September 15, 2019
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