Building Parallel Programs: SMPs, Clusters, and Java by Alan Kaminsky ( Cengage Course Technology, , ISBN ) is a. Readers learn the craft of designing and building parallel programsspecifically programs that employ multiple processors operating at once to solve a large. This book is an excellent text on parallel programming in Java, especially for computational science students and faculty. If you’re short of time.

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There are two especially valuable features of his approach: Showing of 2 reviews. This book is heavily dependent on the PJ library and uses it to guide the reader step by step into writing parallel programs that exploit SMP, cluster, and hybrid configurations. I would be happy to have my students learn from this text for what it offers.

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Building Parallel Programs: SMPs, Clusters & Java

I used it for a parallel computing undergraduate course at UCSD. With the prevalence of Java as a programming language, this book offers a more modern take on parallel programming, which will appeal to customers. The author will make unique Java code samples and toolkits available student downloads on course. Return to Book Page. This text is intended for parallel programming courses within computer science departments at both four-year and two-year colleges.

However, trying to build a full-fledged scientific application on these principles is simply too difficult; most scientifically oriented programmers need a more straightforward approach. Set up a giveaway. Clear text, examples are great. A given scientific problem is stated. Reviewers commented positively on the author’s clear writing style, which will be beneficial to students who often are forced to grapple with muddled texts at these higher levels.


This book has quickly become one of the Java programming jewels in my library. With 31 years of computing experience spanning industry and academia, Alan Kaminsky has developed telephone switching system software at Bell Laboratories, developed real-time embedded control software and fuzzy genetic algorithms at Harris Corporation, and worked on printer system architectures at Xerox Corporation.

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Building Parallel Programs : SMPs, Clusters, and Java (P)

The parallel Java library makes this a pretty friendly way for Java programmers to start programming in parallel. Mike rated it really liked it Jun 23, In search of a solution, I joined a course on parallel programming that happened to be on Fortran or C programming using OpenMP and message-passing interface MPIand I also attended the Supercomputing conference.

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Contact him at fem um. Then came this book! Read, highlight, and take notes, across web, tablet, and phone. Java’s becoming a preferred language for the students and that’s definitely making this book more attractive.


Building Parallel Programs: SMPs, Clusters, and Java – Computing Now Book Reviews – IEEECS

May not be open to the public ; HIGH javz This book is much more up to date than any other choices on the market today, particularly the market leader from Morgan-Kaufmann, which has not been updated since IEEE Pervasive Computing explores pervasive, mobile, and ubiquitous computing for developers, researchers, and educators.

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After going through this sequence several times, I sometimes wondered: Books by Alan Kaminsky. The market is looking for a new, up-to-date option and this book delivers with its Java focus and the credentials of the author.

With the prevalence of Java as a programming language, prgrams book offers a more modern take on parallel programming, which will appeal to customers. Discover Prime Book Box for Kids. Ben buildinng it Aug 31, Amazon Inspire Digital Educational Resources.

Building Parallel Programs: SMPs, Clusters, and Java

Course Technology,c To ask other readers questions about Building Parallel Programsplease sign up. Amazon Renewed Refurbished products with a warranty. The course, while an elective, is offered within most computer science departments at most universities. The next chapter introduces a new topic whose implementation fixes the problem. He uses computational examples that hold real scientific interest for students, yet are simple enough to be easily understandable.

How to Write Parallel Programs. Load Balancing, Part 2.