000			a
999			_c32633 _d32633
008			231228b xxu||||| |||| 00| 0 eng d
020			_a9783319988320
082			_a005.275 _bTRO
100			_aTrobec, Roman
245			_aIntroduction to parallel computing : from algorithms to programming on state-of-the-art platforms
260			_bSpringer, _c2018 _aCham :
300			_axii, 256 p. ; _bill., _c24 cm.
365			_b39.99 _cEUR _d94.10
490			_aUndergraduate topics in computer science
504			_aIncludes bibliographical references and index.
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			_aNumeric Computing
650			_aProgramming Techniques
650			_aAlgorithms & data structures
650			_aParallel-processing algorithms
650			_aHigh-performance computing
650			_aMicroprocessors
650			_aInterconnection technology
650			_aSupercomputing architecture
700			_aSlivnik, Boštjan
700			_aBulić, Patricio
700			_aRobič, Borut
942			_2ddc _cBK