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008			220601s2021 sz | s |||| 0|eng d
020			_a9783031017681
024	7		_a10.1007/978-3-031-01768-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.58 _b2021 EB
100	1		_aKuhn, Robert H. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686908
245	1	0	_aParallel Processing, 1980 to 2020 _cby Robert Kuhn, David Padua
250			_a1st edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XXIII, 166 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Computer Architecture _x1935-3243
505	0		_aForeword by David Kuck -- Preface -- Acknowledgments -- Introduction -- Parallel Hardware -- Programming Notations and Compilers -- Applications -- Parallel Hardware Today and Tomorrow -- Concluding Remarks -- Appendix A: Myths and Misconceptions about Parallelism -- Appendix B: Bibliographic Notes -- Appendix C: Taxonomic Notes -- Appendix D: The 1981 Tutorial -- References -- Authors'Biographies .
520			_aThis historical survey of parallel processing from 1980 to 2020 is a follow-up to the authors' 1981 Tutorial on Parallel Processing, which covered the state of the art in hardware, programming languages, and applications. Here, we cover the evolution of the field since 1980 in: parallel computers, ranging from the Cyber 205 to clusters now approaching an exaflop, to multicore microprocessors, and Graphic Processing Units (GPUs) in commodity personal devices; parallel programming notations such as OpenMP, MPI message passing, and CUDA streaming notation; and seven parallel applications, such as finite element analysis and computer vision. Some things that looked like they would be major trends in 1981, such as big Single Instruction Multiple Data arrays disappeared for some time but have been revived recently in deep neural network processors. There are now major trends that did not exist in 1980, such as GPUs, distributed memory machines, and parallel processing in nearly every commodity device. This book is intended for those that already have some knowledge of parallel processing today and want to learn about the history of the three areas. In parallel hardware, every major parallel architecture type from 1980 has scaled-up in performance and scaled-out into commodity microprocessors and GPUs, so that every personal and embedded device is a parallel processor. There has been a confluence of parallel architecture types into hybrid parallel systems. Much of the impetus for change has been Moore's Law, but as clock speed increases have stopped and feature size decreases have slowed down, there has been increased demand on parallel processing to continue performance gains. In programming notations and compilers, we observe that the roots of today's programming notations existed before 1980. And that, through a great deal of research, the most widely used programming notations today, although the result of much broadening of these roots, remain close to target system architectures allowing the programmer to almost explicitly use the target's parallelism to the best of their ability. The parallel versions of applications directly or indirectly impact nearly everyone, computer expert or not, and parallelism has brought about major breakthroughs in numerous application areas. Seven parallel applications are studied in this book.
988			_aSynthesis Collection of Technology_2021
650		7	_2embne _9158747 _aProceso paralelo (Informática)
650		7	_2embne _9686910 _aOrdenadores paralelos
650		7	_2embne _9159594 _aProgramación en paralelo
700	1		_aPadua, David A. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686909
776	0	8	_iPrinted edition: _z9783031000652
776	0	8	_iPrinted edition: _z9783031006401
776	0	8	_iPrinted edition: _z9783031028960
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01768-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _esc _zSI