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With multi-core processors replacing traditional processors and the movement to multiprocessor workstations and servers, parallel computing has moved from a specialty area to the core of computer science. In order to provide efficient and cost-effective solutions to problems, algorithms must be designed for multiprocessor systems. Algorithms Sequential and A Unified Approach 2/E provides a state-of-the-art approach to an algorithms course. The book considers algorithms, paradigms, and the analysis of solutions to critical problems for sequential and parallel models of computation in a unified fashion. This gives practicing engineers and scientists, undergraduates, and beginning graduate students a background in algorithms for sequential and parallel algorithms within one text. Prerequisites include fundamentals of data structures, discrete mathematics, and calculus.
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Computer Engineering Series: Algorithms Sequential & Parallel, Russ Miller, Laurence Boxer
- Idioma
- Publicado en
- 2005
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- Título
- Computer Engineering Series: Algorithms Sequential & Parallel
- Subtítulo
- A Unified Approach - Second Edition
- Idioma
- Inglés
- Autores
- Russ Miller, Laurence Boxer
- Editorial
- Course Technology
- Publicado en
- 2005
- Formato
- Tapa dura
- Páginas
- 382
- ISBN10
- 1584504129
- ISBN13
- 9781584504122
- Serie
- Etiquetas
- Ordenadores & Internet
- Descripción
- With multi-core processors replacing traditional processors and the movement to multiprocessor workstations and servers, parallel computing has moved from a specialty area to the core of computer science. In order to provide efficient and cost-effective solutions to problems, algorithms must be designed for multiprocessor systems. Algorithms Sequential and A Unified Approach 2/E provides a state-of-the-art approach to an algorithms course. The book considers algorithms, paradigms, and the analysis of solutions to critical problems for sequential and parallel models of computation in a unified fashion. This gives practicing engineers and scientists, undergraduates, and beginning graduate students a background in algorithms for sequential and parallel algorithms within one text. Prerequisites include fundamentals of data structures, discrete mathematics, and calculus.