000			02073nam a2200373 a 4500
005			20250918130316.0
008			110411s2011 flua b 001 0 eng
020			_a9781439825365 (hbk.) _cRM269.11
039		9	_a201309201740 _brosli _c201107071232 _dzarina _c201106291010 _drasyilla _y04-11-2011 _zrasyilla
040			_aUKM
090			_aQ183.9.S274
090			_aQ183.9 _b.S274
245	0	0	_aScientific computing with multicore and accelerators / _cedited by Jakub Kurzak, David A. Bader, and Jack Dongarra.
260			_aBoca Raton, FL. : _bCRC Press, _c2010.
300			_axxxiii, 480 p. : _bill. ; _c24 cm.
490	1		_aChapman & Hall/CRC computational science ; _v10.
504			_aIncludes bibliographical references and index.
520			_a'The current trend in microprocessor architecture is toward powerful multicore designs in which a node contains several full-featured processing cores, private and shared caches, and memory. The IBM Cell Broadband Engine (B.E.) and Graphics Processing Units (GPUs) are two accelerators that are used for a variety of computations, including signal processing and quantum chemistry. This is the first reference on the use of Cell B.E. and GPUs as accelerators for numerical kernels, algorithms, and computational science and engineering applications. With contributions from leading experts, the book covers a broad range of topics on the increased role of these accelerators in scientific computing'-- _cProvided by publisher.
650		0	_aScience _xData processing.
650		0	_aEngineering _xData processing.
650		0	_aHigh performance computing.
650		0	_aMultiprocessors.
700	1		_aKurzak, Jakub.
700	1		_aBader, David A.
700	1		_aDongarra, J. J.
830		0	_aChapman & Hall/CRC computational science ; _v10
907			_a.b14995530 _b2021-05-28 _c2019-11-12
942			_c01 _n0 _kQ183.9.S274
914			_avtls003461718
990			_aszj
991			_aFakulti Teknologi dan Sains Maklumat - Pasca
998			_at _b2011-11-04 _cm _da _feng _gflu _y0 _z.b14995530
999			_c484334 _d484334