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007			cr nn 008mamaa
008			220601s2018 sz | s |||| 0|eng d
020			_a9783031017582
024	7		_a10.1007/978-3-031-01758-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.7 _b2018 EB
100	1		_aBell, Steven _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686890 _c(Electrical engineer)
245	1	0	_aCompiling Algorithms for Heterogeneous Systems _cby Steven Bell, Jing Pu, James Hegarty, Mark Horowitz
250			_a1st edition 2018
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XV, 89 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 -- Computations and Compilers -- Image Processing with Stencil Pipelines -- Darkroom: A Stencil Language for Image Processing -- Programming CPU/FPGA Systems from Halide -- Interfacing with Specialized Hardware -- Conclusions and Future Directions -- Bibliography -- Authors' Biographies.
520			_aMost emerging applications in imaging and machine learning must perform immense amounts of computation while holding to strict limits on energy and power. To meet these goals, architects are building increasingly specialized compute engines tailored for these specific tasks. The resulting computer systems are heterogeneous, containing multiple processing cores with wildly different execution models. Unfortunately, the cost of producing this specialized hardware-and the software to control it-is astronomical. Moreover, the task of porting algorithms to these heterogeneous machines typically requires that the algorithm be partitioned across the machine and rewritten for each specific architecture, which is time consuming and prone to error. Over the last several years, the authors have approached this problem using domain-specific languages (DSLs): high-level programming languages customized for specific domains, such as database manipulation, machine learning, or image processing. By giving up generality, these languages are able to provide high-level abstractions to the developer while producing high-performance output. The purpose of this book is to spur the adoption and the creation of domain-specific languages, especially for the task of creating hardware designs. In the first chapter, a short historical journey explains the forces driving computer architecture today. Chapter 2 describes the various methods for producing designs for accelerators, outlining the push for more abstraction and the tools that enable designers to work at a higher conceptual level. From there, Chapter 3 provides a brief introduction to image processing algorithms and hardware design patterns for implementing them. Chapters 4 and 5 describe and compare Darkroom and Halide, two domain-specific languages created for image processing that produce high-performance designs for both FPGAs and CPUs from the same source code, enabling rapid design cycles and quick porting of algorithms. The final section describes how the DSL approach also simplifies the problem of interfacing between application code and the accelerator by generating the driver stack in addition to the accelerator configuration. This book should serve as a useful introduction to domain-specialized computing for computer architecture students and as a primer on domain-specific languages and image processing hardware for those with more experience in the field.
988			_aSynthesis Collection of Technology_2018
650		7	_2embne _9678605 _aLenguajes de programación
650		7	_2embne _9413188 _aProceso digital de imágenes
650		7	_2embne _9145167 _aCompiladores (Programas de ordenador)
700	1		_aPu, Jing _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686891 _c(Software engineer)
700	1		_aHegarty, James _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686892 _c(Computer scientist)
700	1		_aHorowitz, Mark _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686893 _q(Mark Alan)
776	0	8	_iPrinted edition: _z9783031000553
776	0	8	_iPrinted edition: _z9783031006302
776	0	8	_iPrinted edition: _z9783031028861
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01758-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _esc _zSI