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Beschreibung
With the emergence of multicore processors as the standard for all computers, developers need to learn parallel programming to stay current and competitive. Much as structured programming revolutionized traditional serial programming decades ago, a new kind of structured programming, based on patterns, is relevant to parallel programming today. Parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders describe how to design and implement maintainable and efficient parallel algorithms using a pattern-based approach. They present theory and practice and give detailed, concrete examples using multiple programming models. Examples are primarily given using two of the most popular and cutting-edge programming models for parallel programming: Threading Building Blocks and Cilk Plus. These architecture-independent models enable easy integration into existing applications, preserve investments in existing code, and speed the development of parallel applications. Examples from realistic contexts illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology.
With the emergence of multicore processors as the standard for all computers, developers need to learn parallel programming to stay current and competitive. Much as structured programming revolutionized traditional serial programming decades ago, a new kind of structured programming, based on patterns, is relevant to parallel programming today. Parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders describe how to design and implement maintainable and efficient parallel algorithms using a pattern-based approach. They present theory and practice and give detailed, concrete examples using multiple programming models. Examples are primarily given using two of the most popular and cutting-edge programming models for parallel programming: Threading Building Blocks and Cilk Plus. These architecture-independent models enable easy integration into existing applications, preserve investments in existing code, and speed the development of parallel applications. Examples from realistic contexts illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology.
Über den Autor
Michael McCool has research and application experience in the areas of data mining, computer graphics (specifically sampling, rasterization, texture hardware, antialiasing,shading, illumination, and visualization), medical imaging, signal and image processing, financial analysis,and languages and programming platforms for high productivity parallel computing. In order to commercialize research work into many-core computing platforms done while he was a professor at the University of Waterloo,in 2004 he co-founded RapidMind, which in 2009 was acquired by Intel. Currently he is a Software Architect with Intel working on Array Building Blocks and an Adjunct Associate Professor with the University of Waterloo. In addition to his university teaching, he has presented tutorials at Eurographics, SIGGRAPH, and SC on graphics and/or parallel computing.
Inhaltsverzeichnis
1. Introduction
2. Map
3. Collectives
4. Data reorganization
5. Fork-join
6. Examples
7. Further Reading
Details
Erscheinungsjahr: | 2012 |
---|---|
Fachbereich: | Programmiersprachen |
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
ISBN-13: | 9780124159938 |
ISBN-10: | 0124159931 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Mccool, Michael
Reinders, James Robison, Arch |
Hersteller: | Elsevier Science |
Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
Maße: | 234 x 192 x 32 mm |
Von/Mit: | Michael Mccool (u. a.) |
Erscheinungsdatum: | 25.06.2012 |
Gewicht: | 0,88 kg |
Über den Autor
Michael McCool has research and application experience in the areas of data mining, computer graphics (specifically sampling, rasterization, texture hardware, antialiasing,shading, illumination, and visualization), medical imaging, signal and image processing, financial analysis,and languages and programming platforms for high productivity parallel computing. In order to commercialize research work into many-core computing platforms done while he was a professor at the University of Waterloo,in 2004 he co-founded RapidMind, which in 2009 was acquired by Intel. Currently he is a Software Architect with Intel working on Array Building Blocks and an Adjunct Associate Professor with the University of Waterloo. In addition to his university teaching, he has presented tutorials at Eurographics, SIGGRAPH, and SC on graphics and/or parallel computing.
Inhaltsverzeichnis
1. Introduction
2. Map
3. Collectives
4. Data reorganization
5. Fork-join
6. Examples
7. Further Reading
Details
Erscheinungsjahr: | 2012 |
---|---|
Fachbereich: | Programmiersprachen |
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
ISBN-13: | 9780124159938 |
ISBN-10: | 0124159931 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Mccool, Michael
Reinders, James Robison, Arch |
Hersteller: | Elsevier Science |
Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
Maße: | 234 x 192 x 32 mm |
Von/Mit: | Michael Mccool (u. a.) |
Erscheinungsdatum: | 25.06.2012 |
Gewicht: | 0,88 kg |
Sicherheitshinweis