Grid Computing: Making The Global Infrastructure a Reality Review

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Grid Computing: Making The Global Infrastructure a Reality ReviewIf you have made the decision to read one GRID book, then this is the one. Written by recognized experts in the GRID field, the text provides a deep dive into GRID architectures, databases and various GRID standards.Grid Computing: Making The Global Infrastructure a Reality OverviewGrid computing is applying the resources of many computers in a network to a single problem at the same timeGrid computing appears to be a promising trend for three reasons:(1) Its ability to make more cost-effective use of a given amount of computer resources,(2) As a way to solve problems that can't be approached without an enormous amount of computing power(3) Because it suggests that the resources of many computers can be cooperatively and perhaps synergistically harnessed and managed as a collaboration toward a common objective.A number of corporations, professional groups, university consortiums, and other groups have developed or are developing frameworks and software for managing grid computing projects. The European Community (EU) is sponsoring a project for a grid for high-energy physics, earth observation, and biology applications. In the United States, the National Technology Grid is prototyping a computational grid for infrastructure and an access grid for people. Sun Microsystems offers Grid Engine software. Described as a distributed resource management tool, Grid Engine allows engineers at companies like Sony and Synopsys to pool the computer cycles on up to 80 workstations at a time.* "the Grid" is a very hot topic generating broad interest from research and industry (e.g. IBM, Platform, Avaki, Entropia, Sun, HP)* Grid architecture enables very popular e-Science projects like the Genome project which demand global interaction and networking* In recent surveys over 50% of Chief Information Officers are expected to use Grid technology this yearGrid Computing:* Features contributions from the major players in the field* Covers all aspects of grid technology from motivation to applications* Provides an extensive state-of-the-art guide in grid computingThis is essential reading for researchers in Computing and Engineering, physicists, statisticians, engineers and mathematicians and IT policy makers.

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Design of Multithreaded Software: The Entity-Life Modeling Approach Review

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Design of Multithreaded Software: The Entity-Life Modeling Approach ReviewDr Sanden has created a very impressive piece of literature. As a professor of computer science, I found this book to be an incredible asset to my professional "tool kit," so to speak. Further, Dr. Sanden's book would be critical asset as a text book as its narration keeps the reader enticed, yet has a number of solid application concepts. I unequivocally recommend this book as a professional asset as well as a text book. Again, this book is quite an impressive piece of work that is a strong contribution to this professional field.Design of Multithreaded Software: The Entity-Life Modeling Approach OverviewThis book assumes familiarity with threads (in a language such as Ada, C#, or Java)and introduces the entity-life modeling (ELM) design approach for certain kinds of multithreaded software. ELM focuses on "reactive systems," which continuously interact with the problem environment. These "reactive systems" include embedded systems, as well as such interactive systems as cruise controllers and automated teller machines.
Part I covers two fundamentals: program-language thread support and state diagramming. These are necessary for understanding ELM and are provided primarily for reference. Part II covers ELM from different angles. Part III positions ELM relative to other design approaches.


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Pattern-Oriented Software Architecture Volume 2: Patterns for Concurrent and Networked Objects Review

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Pattern-Oriented Software Architecture Volume 2: Patterns for Concurrent and Networked Objects ReviewThe book consists of three sections: a short introduction that outlines the problem space, a section containing a large collection of patterns, and a short final section that talks about weaving patterns into a pattern language and offers a few speculations as to the future of patterns.
The first section is quite short, but covers the problem space nicely and provides the motivation for what follows. The presentation is greatly helped by a case study for applying patterns to a concurrent web server; this illustrates how individual patterns can be used to solve particular problems and provides a practical perspective for how to make use of what is in the remainder of the book.
The second section constitutes the majority of the book and describes a large collection of network and concurrency patterns. Here is where the real meat of the book can be found, with 17 different patterns plus variants. There is something for everyone here, such as interceptor, reactor, acceptor-connector, etc. The patterns are presented clearly, with ample UML diagrams to support the extensive explanations. What I liked particularly is that the presentation is both complete and fair. For example, the double-checked locking pattern isn't just presented as a panacea for singleton initialization. Instead, you get explicit warnings about memory coherency issues, together with examples for how to deal with them, so you don't go and implement something and then wonder why it doesn't work...
The final section of the book shows how to connect patterns into a pattern language, such that each pattern nicely fits into a larger architectural whole. There is also some speculation as to where patterns might be headed next. (According to the authors, we are nowhere near having exhausted the topic.)
Overall, I was really impressed with this book. The text provides extensive references to existing literature, so if you are interested in learning about a particular topic in more detail, you'll find plenty of material for further reading. And there is an index that actually works (which is a rarity these days).
While the language is lucid, the book is probably not something you want to read in a single sitting. Instead, it's the sort of book you browse through, picking up interesting things as you go, and then referring back to them when you need more detail. (I read the book over a number of weeks, digesting a chapter at a time when it suited me.)
Overall, I highly recommend this book. While much of the content has been published previously, it's difficult to find elsewhere and not as up to date. Here, you get everything in one place, presented in a form that works both for learning and as a reference.
If you are interested in programming distributed systems, don't miss this--there is no other book that covers the ground anywhere near as well!Pattern-Oriented Software Architecture Volume 2: Patterns for Concurrent and Networked Objects OverviewDesigning application and middleware software to run in concurrent and networked environments is a significant challenge to software developers. The patterns catalogued in this second volume of Pattern-Oriented Software Architectures (POSA) form the basis of a pattern language that addresses issues associated with concurrency and networking.The book presents 17 interrelated patterns ranging from idioms through architectural designs. They cover core elements of building concurrent and network systems: service access and configuration, event handling, synchronization,and concurrency. All patterns present extensive examples and known uses in multiple programming languages, including C++, C, and Java.The book can be used to tackle specific software development problems or read from cover to cover to provide a fundamental understanding of the best practices for constructing concurrent and networked applications and middleware.About the AuthorsThis book has been written by the award winning team responsible for the first POSA volume "A System of Patterns", joined in this volume by Douglas C. Schmidt from University of California, Irvine (UCI), USA.Visit our Web Page

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The Sourcebook of Parallel Computing (The Morgan Kaufmann Series in Computer Architecture and Design) Review

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The Sourcebook of Parallel Computing (The Morgan Kaufmann Series in Computer Architecture and Design) Review...This book builds on the important work done at the Center for Research on Parallel Computation and within the academic community for over a decade. It is a definitive text on parallel Computing and should be a key reference for students,
researchers and practitioners in the field. The Sourcebook for Parallel Computing gives a thorough introduction to parallel applications, software technologies, enabling technologies, and algorithms. I highly recommend this great book to anyone
interested in a comprehensive and thoughtful treatment of the most important issues in parallel computing. The Features & Benefits of this book includes...but not limited to 1) Providing a solid background in parallel computing technologies 2) Examining the technologies available and teaches students and practitioners how to select and apply them 3) Presenting case studies in a range of application areas including Chemistry, Image Processing, Data Mining, Ocean Modeling and Earthquake and 4) Considering the future development of parallel computing technologies and the kinds of applications they will support. Worth buying this book, your money is invested!The Sourcebook of Parallel Computing (The Morgan Kaufmann Series in Computer Architecture and Design) Overview
Parallel Computing is a compelling vision of how computation can seamlessly scale from a single processor to virtually limitless computing power. Unfortunately, the scaling of application performance has not matched peak speed, and the programming burden for these machines remains heavy.The applications must be programmed to exploit parallelism in the most efficient way possible. Today, the responsibility for achieving the vision of scalable parallelism remains in the hands ofthe application developer.
This book represents the collected knowledge and experience of over 60 leading parallel computing researchers.They offer students, scientists and engineers a complete sourcebook with solid coverage ofparallel computing hardware, programming considerations, algorithms, software and enabling technologies, as well as several parallel application case studies. The Sourcebook of Parallel Computing offers extensivetutorials and detailed documentation of the advanced strategies produced by research over the last two decades application case studies. The Sourcebook of Parallel Computing offers extensivetutorials and detailed documentation of the advanced strategies produced by research over the last two decades* Provides a solid background in parallel computing technologies* Examines the technologies available and teaches students and practitioners how to select and apply them* Presents case studies in a range of application areas including Chemistry, Image Processing, Data Mining, Ocean Modeling and Earthquake Simulation* Considers the future development of parallel computing technologies and the kinds of applications they will support

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Introduction to Concurrency in Programming Languages (Chapman & Hall/CRC Computational Science) Review

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Introduction to Concurrency in Programming Languages (Chapman & Hall/CRC Computational Science) ReviewExcellent textbook. Well organized. Well written. Easy to follow. Complete.
But, it deserves a much wider audience than the title suggests.
Whether you are an old dog like me, or new to computing, you NEED to understand concurrency. Want to understand concurrency? Just pick up this book and read it. It is very accessible and very clear. Everything is explained in a way that makes you think: "Of course. That just makes sense."
Highly recommended!Introduction to Concurrency in Programming Languages (Chapman & Hall/CRC Computational Science) OverviewExploring how concurrent programming can be assisted by language-level techniques, Introduction to Concurrency in Programming Languages presents high-level language techniques for dealing with concurrency in a general context. It provides an understanding of programming languages that offer concurrency features as part of the language definition.The book supplies a conceptual framework for different aspects of parallel algorithm design and implementation. It first addresses the limitations of traditional programming techniques and models when dealing with concurrency. The book then explores the current state of the art in concurrent programming and describes high-level language constructs for concurrency. It also discusses the historical evolution of hardware, corresponding high-level techniques that were developed, and the connection to modern systems, such as multicore and manycore processors. The remainder of the text focuses on common high-level programming techniques and their application to a range of algorithms. The authors offer case studies on genetic algorithms, fractal generation, cellular automata, game logic for solving Sudoku puzzles, pipelined algorithms, and more. Illustrating the effect of concurrency on programs written in familiar languages, this text focuses on novel language abstractions that truly bring concurrency into the language and aid analysis and compilation tools in generating efficient, correct programs. It also explains the complexity involved in taking advantage of concurrency with regard to program correctness and performance.

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