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001 88829468
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006 m o d
007 cr un
008 250107s2015 fr | o|||||0|0|||eng d
020 _a9780128038994
035 _aFRCYB88829468
040 _aFR-PaCSA
_ben
_c
_erda
100 1 _aPrasad, Sushil K
245 0 1 _aTopics in Parallel and Distributed Computing
_bIntroducing Concurrency in Undergraduate Courses
_c['Prasad, Sushil K']
264 1 _bElsevier Science
_c2015
300 _a p.
336 _btxt
_2rdacontent
337 _bc
_2rdamdedia
338 _bc
_2rdacarrier
650 0 _a
700 0 _aPrasad, Sushil K
856 4 0 _2Cyberlibris
_uhttps://international.scholarvox.com/netsen/book/88829468
_qtext/html
_a
520 _aTopics 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
999 _c63335
_d63335