000			02181nam a22003015i 4500
001			37996
003			0000000000
005			20240411192408.0
008			180711s2018 nyu s 000 0 eng
020			_a9783319988320
035			_a20578129
040			_aDLC _beng _erda _cDLC
042			_apcc
100	1		_aTrobec, Roman.
245	0	0	_aIntroduction to parallel computing : _bfrom algorithms to programming on state-of-the-art platforms / _cRoman Trobec, Boštjan Slivnik, Patricio Bulić, andBorut Robic.
263			_a1808
264		1	_aCham : _bSpringer, _c2018.
300			_apages cm.
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
520			_aAdvancements in microprocessor architecture, interconnection technology, and software development have fueled rapid growth in parallel and distributed computing. However, this development is only of practical benefit if it is accompanied by progress in the design, analysis and programming of parallel algorithms. This concise textbook provides, in one place, three mainstream parallelization approaches, Open MPP, MPI and OpenCL, for multicore computers, interconnected computers and graphical processing units. An overview of practical parallel computing and principles will enable the reader to design efficient parallel programs for solving various computational problems on state-of-the-art personal computers and computing clusters. Topics covered range from parallel algorithms, programming tools, OpenMP, MPI and OpenCL, followed by experimental measurements of parallel programs' run-times, and by engineering analysis of obtained results for improved parallel execution performances. Many examples and exercises support the exposition.
650		7	_aParallel processing (Electronic computers) _2sears
650		7	_aParallel programming (Computer science) _2sears
650		7	_aProgramming Techniques. _2sears
856			_uhttps://drive.google.com/file/d/1UxtOmhUfX3X6pIyjRZ281rLO9eq1WXxp/view?usp=sharing
999			_c5457 _d5457