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Tarek El-Ghazawi, William Carlson, Thomas Sterling, Katherine Yelick - UPC, Inbunden

Inbunden, Engelska, 2005

UPC

Av Tarek El-Ghazawi, William Carlson, Thomas Sterling, Katherine Yelick

1934 kr

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Beskrivning
A must-have for UPC programmers and applications developersThis publication provides an in-depth interpretation of UPC language specifications for use in highly parallel systems. With its extensive use of examples, UPC programming case studies, and illustrations, it offers new insights into developing efficient and effective UPC applications such as high-speed signal processing and pattern recognition. As an added feature, readers have access to an ftp site containing an electronic copy of the full code and can make files for all the examples given in the text.The book provides all the information and guidance needed to use this powerful new programming language: Chapter 1 provides a quick tutorial of the major features of the UPC languageChapter 2 presents the UPC programming model and describes how shared and nonshared data are declared and usedChapter 3 covers the critically important concept of pointers in UPC, identifying the types, declarations, and usage of the various UPC pointers and how they work with arraysChapter 4 explains how data and work can be distributed in UPC such that data locality is exploited through efficient data declarations and work-sharing constructsChapter 5 provides extensive treatment of dynamic memory allocation in the shared spaceChapter 6 covers thread and data synchronization, explaining the effective mechanisms provided by UPC for mutual exclusion, barriers, and memory consistency controlChapter 7 offers programmers tools needed to write efficient applicationsChapter 8 introduces two UPC standard libraries: the collective operations library and the parallel I/O libraryAppendices feature the UPC v1.1.1 specification; UPC v1.0 collective library specifications; UPC-IO v1.0 specifications; information on how to compile and run UPC programs; and a quick UPC reference cardUPC is ubiquitous. It is supported on parallel computers from HP, Cray, SGI, IBM, as well as on computer clusters. This is the authoritative source for learning how to master this programming language; El-Ghazawi, Carlson, and Yelick are among the developers of UPC.
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