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020			_a9783030761943
024	7		_a10.1007/978-3-030-76194-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.58 _b2022 EB
100	1		_aWeinzierl, Tobias _4http://id.loc.gov/vocabulary/relators/aut _9683338
245	1	0	_aPrinciples of Parallel Scientific Computing : _bA First Guide to Numerical Concepts and Programming Methods _cby Tobias Weinzierl
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publising _c2021
300			_a1 recurso en línea (XIII, 314 páginas) _b84 ilustraciones, 37 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aUndergraduate Topics in Computer Science _x2197-1781
505	0		_a1. The Pillars of Science -- 2. Moore Myths -- 3. Our Model Problem -- 4. Floating Point Numbers -- 5. A Simplistic Machine Model -- 6. Round-off Error Propagation -- 7. SIMD Vector Crunching -- 8. Arithmetic Stability of an Implementation -- 9. Vectorisation of the Model Problem -- 10. Conditioning and Well-posedness -- 11. Taylor Expansion -- 12. Ordinary Differential Equations -- 13. Accuracy and Appropriateness of Numerical Schemes -- 14. Writing Parallel Codes -- 15. Upscaling Methods -- 16. OpenMP Primer -- 17. Shared Memory Tasking -- 18. GPGPUs with OpenMP -- 19. Higher Order Methods -- 20. Adaptive Time Stepping.
520			_aIt is the combination of mathematical ideas and efficient programs that drives the progress in many scientific disciplines: The faster results can be generated on a computer, the bigger and the more accurate are the challenges that can be solved. This textbook targets students who have programming skills and do not shy away from mathematics, though they might be educated in computer science or an application domain and have no primary interest in the maths. The book is for students who want to see some simulations up and running. It introduces the basic concepts and ideas behind applied mathematics and parallel programming that are needed to write numerical simulations for today's multicore workstations. The intention is not to dive into one particular application domain or to introduce a new programming language; rather it is to lay the generic foundations for future studies and projects in this field. Topics and features: Fits into many degrees where students have already been exposed to programming languages Pairs an introduction to mathematical concepts with an introduction to parallel programming Emphasises the paradigms and ideas behind code parallelisation, so students can later on transfer their knowledge and skills Illustrates fundamental numerical concepts, preparing students for more formal textbooks The easily digestible text prioritises clarity and intuition over formalism, illustrating basic ideas that are of relevance in various subdomains of scientific computing. Its primary goal is to make theoretical and paradigmatic ideas accessible and even fascinating to undergraduate students. Tobias Weinzierl is professor in the Department of Computer Science at Durham University, Durham, UK. He has worked at the Munich Centre for Advanced Computing (see the Springer edited book, Advanced Computing) before, and holds a PhD and habilitation from the Technical University Munich.
988			_aSpringer_Computer_2022
650		7	_2embne _9158747 _aProceso paralelo (Informática)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783030761936
776	0	8	_iPrinted edition: _z9783030761950
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-76194-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
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998			_b03/2022 _dz _eh _zSI