000			04428nam a22004335i 4500
001			u371211
003			SIRSI
005			20160812080116.0
007			cr nn 008mamaa
008			100316s2010 xxu| s |||| 0|eng d
020			_a9781441909442 _9978-1-4419-0944-2
040			_cMX-MeUAM
050		4	_aTK7888.4
082	0	4	_a621.3815 _223
100	1		_aGulati, Kanupriya. _eauthor.
245	1	0	_aHardware Acceleration of EDA Algorithms _h[recurso electrónico] : _bCustom ICs, FPGAs and GPUs / _cby Kanupriya Gulati, Sunil P. Khatri.
264		1	_aBoston, MA : _bSpringer US, _c2010.
300			_aXXII, 192 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aAlternative Hardware Platforms -- Hardware Platforms -- GPU Architecture and the CUDA Programming Model -- Control Dominated Category -- Accelerating Boolean Satisfiability on a Custom IC -- Accelerating Boolean Satisfiability on an FPGA -- Accelerating Boolean Satisfiability on a Graphics Processing Unit -- Control Plus Data Parallel Applications -- Accelerating statistical static Timing Analysis Using Graphics Processors -- Accelerating Fault Simulation Using Graphics Processors -- Fault Table Generation Using Graphics Processors -- Accelerating Circuit Simulation Using Graphics Processors -- Automated Generation of GPU Code -- Automated Approach for Graphics Processor Based Software Acceleration -- Conclusions.
520			_aHardware Acceleration of EDA Algorithms: Custom ICs, FPGAs and GPUs Kanupriya Gulati Sunil P. Khatri This book deals with the acceleration of EDA algorithms using hardware platforms such as Custom ICs, FPGAs and GPUs. Widely applied CAD algorithms are studied for potential acceleration on these platforms. Coverage includes discussion of conditions under which it is preferable to use one platform over another, e.g., when an EDA problem has a high degree of data parallelism, the GPU is typically the preferred platform, whereas when the problem has more control, an FPGA may be preferred. Results are presented for the acceleration of several CAD algorithms (fault simulation, fault table generation, model card evaluation in SPICE, Monte Carlo based statistical static timing analysis, Boolean Satisfiability), demonstrating speedups up to 800X compared to single-core implementatinos of these algorithms. This book serves as a valuable guide on how best to leverage parallelism to accelerate CAD algorithms. It also presents a methodology to automatically extract SIMD parallelism from regular uniprocessor code which satisfies a set of constraints. With this approach, such uniprocessor code can automatically be converted to GPU code, allowing for significant acceleration. This approach is particularly useful since different GPUs have vastly different specifications, making the manual generation of GPU code an unscalable proposition. In particular, this book: Provides guidelines on whether to use Custom ICs, GPUs or FPGAs when accelerating a given EDA algorithm, validating these suggestions with a concrete example (Boolean Satisfiability) implemented on all these platforms; Demonstrates the acceleration of several popular EDA algorithms on GPUs, with speedups up to 800X; Helps the reader by presenting example algorithms which may be used by the reader to determine how best to accelerate their specific EDA algorithm; Discusses an automatic approach to generate GPU code, given regular uniprocessor code which satisfies a set of constraints; Serves as a valuable reference for anyone interested in exploring alternative hardware platforms for accelerating various EDA applications by harnessing the parallelism available in these platforms.
650		0	_aEngineering.
650		0	_aComputer aided design.
650		0	_aSystems engineering.
650	1	4	_aEngineering.
650	2	4	_aCircuits and Systems.
650	2	4	_aComputer-Aided Engineering (CAD, CAE) and Design.
700	1		_aKhatri, Sunil P. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781441909435
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4419-0944-2
596			_a19
942			_cLIBRO_ELEC
999			_c199091 _d199091