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008			230425s2018 sz | s |||| 0|eng d
020			_a9783031017599
024	7		_a10.1007/978-3-031-01759-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aT385 _b2018 EB
100	1		_aAamodt, Tor M. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688240
245	1	0	_aGeneral-Purpose Graphics Processor Architectures _cby Tor M. Aamodt, Wilson Wai Lun Fung, Timothy G. Rogers
250			_a1st edition 2018
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XVIII, 122 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		_aPreface -- Acknowledgments -- Introduction -- Programming Model -- The SIMT Core: Instruction and Register Data Flow -- Memory System -- Crosscutting Research on GPU Computing Architectures -- Bibliography -- Authors' Biographies.
520			_aOriginally developed to support video games, graphics processor units (GPUs) are now increasingly used for general-purpose (non-graphics) applications ranging from machine learning to mining of cryptographic currencies. GPUs can achieve improved performance and efficiency versus central processing units (CPUs) by dedicating a larger fraction of hardware resources to computation. In addition, their general-purpose programmability makes contemporary GPUs appealing to software developers in comparison to domain-specific accelerators. This book provides an introduction to those interested in studying the architecture of GPUs that support general-purpose computing. It collects together information currently only found among a wide range of disparate sources. The authors led development of the GPGPU-Sim simulator widely used in academic research on GPU architectures. The first chapter of this book describes the basic hardware structure of GPUs and provides a brief overview of their history. Chapter 2 provides a summary of GPU programming models relevant to the rest of the book. Chapter 3 explores the architecture of GPU compute cores. Chapter 4 explores the architecture of the GPU memory system. After describing the architecture of existing systems, Chapters 3 and 4 provide an overview of related research. Chapter 5 summarizes cross-cutting research impacting both the compute core and memory system. This book should provide a valuable resource for those wishing to understand the architecture of graphics processor units (GPUs) used for acceleration of general-purpose applications and to those who want to obtain an introduction to the rapidly growing body of research exploring how to improve the architecture of these GPUs.
988			_aSynthesis Collection of Technology_2018
650		7	_2embne _9141143 _aGráficos de ordenador
650		7	_2embne _9144554 _aArquitectura de ordenador
700	1		_aFung, Wilson Wai Lun _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688241
700	1		_aRogers, Timothy G. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688242
776	0	8	_iPrinted edition: _z9783031000560
776	0	8	_iPrinted edition: _z9783031006319
776	0	8	_iPrinted edition: _z9783031028878
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01759-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2023 _dz _eIG _zSI