Foundations Of Multithreaded Parallel And Distributed Programming. Gregory R. Andrews

Foundations Of Multithreaded Parallel And Distributed Programming


Foundations.Of.Multithreaded.Parallel.And.Distributed.Programming.pdf
ISBN: 0201357526,9780201357523 | 472 pages | 12 Mb


Download Foundations Of Multithreaded Parallel And Distributed Programming



Foundations Of Multithreaded Parallel And Distributed Programming Gregory R. Andrews
Publisher: Addison Wesley




B34;Foundation of Multithreaded, Parallel, and distributed Programming;;Gregory R. GO Foundations Of Multithreaded Parallel And Distributed Programming Author: Gregory R. Publisher: Addison Wesley Page Count: 472. Title: Foundation of Multithreaded, Parallel, and Distributed Programming (Singapore Edition) Author: Gregory R. Foundations of Multithreaded, Parallel, and Distributed Programming covers-and then applies-the core concepts and techniques needed for an introductory course in this topic. Language: English Released: 1999. Andrews;;1999; 136.000 ; 102.000. Andrews ISBN: Condition: 8/10, nicely wrapped. Finally, it examines how Java programs Parallel, and Distributed Programming Foundations of Multithreaded, Parallel, and Distributed Programming by Gregory R. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The focus then shifts to distributed computing with RMI. Foundations of Multithreaded, Parallel, and Distributed Programming addresses, and then applies, the center concepts and tactics essential for an introductory study course in this topic. This accessible text covers the techniques of parallel programming in a practical manner that enables readers to write and evaluate their parallel programs. The first method illustrates utilization of MATLAB's Parallel Computing Toolbox (PCT) and the second method makes use of another toolbox, JACKET, to speed up computations on the CPU and GPU, respectively. Foundations of Multithreaded, Parallel, and Distributed.

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