Parallel Processing Computers Books - Page 6

Petascale Computing: Algorithms and Applications (Chapman & Hall/Crc Computational Science Series)

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Editorial Review:

Although the highly anticipated petascale computers of the near future will perform at an order of magnitude faster than today’s quickest supercomputer, the scaling up of algorithms and applications for this class of computers remains a tough challenge. From scalable algorithm design for massive concurrency toperformance analyses and scientific visualization, Petascale Computing: Algorithms and Applications captures the state of the art in high-performance computing algorithms and applications. Featuring contributions from the world’s leading experts in computational science, this edited collection explores the use of petascale computers for solving the most difficult scientific and engineering problems of the current century.

Covering a wide range of important topics, the book illustrates how petascale computing can be applied to space and Earth science missions, biological systems, weather prediction, climate science, disasters, black holes, and gamma ray bursts. It details the simulation of multiphysics, cosmological evolution, molecular dynamics, and biomolecules. The book also discusses computational aspects that include the Uintah framework, Enzo code, multithreaded algorithms, petaflops, performance analysis tools, multilevel finite element solvers, finite element code development, Charm++, and the Cactus framework.

Supplying petascale tools, programming methodologies, and an eight-page color insert, this volume addresses the challenging problems of developing application codes that can take advantage of the architectural features of the new petascale systems in advance of their first deployment.

Java Web Services Architecture (The Morgan Kaufmann Series in Data Management Systems)

James McGovern, Sameer Tyagi, Michael Stevens, Sunil Mathew

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Customer Reviews:
Total reviews: 63 Average rating: 4.5 of 5

Book needs a revision 1 out of 5 stars.
14 of 22 people found this review helpful.

This book disappointed me with belated material and using older java implementations. The content and examples needs lot of updates and confusing the readers. The book suggested website www.webservicesarchitecture.com is not working at all. I find no response from the publisher and author as well.

Editorial Review:

Written by industry thought leaders, Java Web Services Architecture is a no-nonsense guide to web services technologies including SOAP, WSDL, UDDI and the JAX APIs. This book is the trusted advisor to systems architects and provides an unbiased look at many of the practical considerations for implementing web services including authorization, encryption, transactions and the future of Web Services.

* Covers all the standards, the JAX APIs, transactions, security, and more.
* Contains CD with author code and software from BEA, Sun, The Mind Electric, Altova, CapeClear, Systinet, Republica, Iona, Parasoft, Ipedo, and more.
* Web enhanced with additional material at http://www.webservicesarchitecture.com.

Solving Higher-Order Equations : From Logic to Programming (Progress in Theoretical Computer Science)

Christian Prehofer

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Editorial Review:

Author presents a novel framework for the full integration of declarative programming models and shows its application. Develops techniques for equational reasoning and declarative programming based on higher-order logic. DLC: Computer logic.

The Definition of Standard ML (Computational Models of Cognition & Perception)

Robin Milner, Mads Tofte, Robert Harper

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Subjects -> Computers & Internet -> Programming -> Languages & Tools -> General AAS

Customer Reviews:
Total reviews: 3 Average rating: 4.0 of 5

Editorial Review:

This book presents the official, formal definition of the programming language ML including the rules for grammar and static and dynamic semantics. ML is the most well-developed and prominent of a new group of functional programming languages. On the cutting edge of theoretical computer science, ML embodies the ideas of static typing and polymorphism and has also contributed a number of novel ideas to the design of programming languages.

Contents: Syntax of the Core. Syntax of Modules. Static Semantics for the Core. Static Semantics for Modules. Dynamic Semantics for Modules. Programs.

Appendixes: Derived Forms. Full Grammar. The Initial Static Basis. The Initial Dynamic Basis. The Development of ML.

Robin Milner is Professor of Computer Science and Director of the Laboratory for Foundations of Computer Science at the University of Edinburgh. Mads Tofte is Lecturer at Nsukka University Nigeria. Robert Harper is Research Computer Scientist at Carnegie Mellon University.

Foundations of Multithreaded, Parallel, and Distributed Programming

Gregory R. Andrews

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Customer Reviews:
Total reviews: 3 Average rating: 3.5 of 5

an excellent intro to medium book on parallel programming 5 out of 5 stars.
28 of 28 people found this review helpful.

The book provides all material needed for a beginner to easily acquire knowledge required for development and beginner's research in the field of parallel computation. It's written though not for a beginner in programming, solid basics and initial knowledge of OS internals are prerequisites. I found it's easy to read and understand with a mass of useful examples and with coverage of MPI and Java. This was especially important to since it bridges the theory in the earlier sections with practical implementations using production environment tools. In overall I strongly recommend it for those who are new to the field. For a more deep discussion on parallel algorithms one may want to look at F.T. Leighton's "Intro to Parallel Algorithms and Architectures: Arrays, Trees, Hypercubes" - that one is much more technical though.

Editorial Review:

Foundations of Multithreaded, Parallel, and Distributed Programming covers, and then applies, the core concepts and techniques needed for an introductory course in this subject. Its emphasis is on the practice and application of parallel systems, using real-world examples throughout. Greg Andrews teaches the fundamental concepts of multithreaded, parallel and distributed computing and relates them to the implementation and performance processes. He presents the appropriate breadth of topics and supports these discussions with an emphasis on performance.

Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers (2nd Edition)

Barry Wilkinson, Michael Allen

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Customer Reviews:
Total reviews: 6 Average rating: 3.5 of 5

Clear and informative book, but... 4 out of 5 stars.
3 of 3 people found this review helpful.

The book does quite well in explaining the concepts of parallel computing and programming, and I have very few complaints about anything actually written in the book. (A companion CD with some sample MPI/PVM programs would have been nice.) However, as well as this book is written and organized, it is almost comical to have this size of book (paperback, at that) costing nearly $... If the book would have cost about $.. less and had the companion CD, it would have been five stars.

Editorial Review:

This accessible text covers the techniques of parallel programming in a practical manner that enables readers to write and evaluate their parallel programs. Supported by the National Science Foundation and exhaustively class-tested, it is the first text of its kind that does not require access to a special multiprocessor system, concentrating instead on parallel programs that can be executed on networked computers using freely available parallel software tools. The book covers the timely topic of cluster programming, interesting to many programmers due to the recent availability of low-cost computers. Uses MPI pseudocodes to describe algorithms and allows different programming tools to be implemented, and provides readers with thorough coverage of shared memory programming, including Pthreads and OpenMP. Useful as a professional reference for programmers and system administrators.

Languages and Compilers for Parallel Computing: 19th International Workshop, LCPC 2006, New Orleans, LA, USA, November 2-4, 2006, Revised Papers (Lecture Notes in Computer Science)

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Editorial Review:

This book constitutes the thoroughly refereed post-proceedings of the 19th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2006, held in New Orleans, LA, USA in November 2006.

The 24 revised full papers presented together with 2 keynote talks were carefully reviewed and selected from 49 initial submissions. The papers are organized in topical sections on programming models, code generation, parallelism, compilation techniques, data structures, register allocation, and memory management.

Efficient and Accurate Parallel Genetic Algorithms (Genetic Algorithms and Evolutionary Computation 1) (Genetic Algorithms and Evolutionary Computation)

Erick Cantu-Paz

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Total reviews: 3 Average rating: 3.5 of 5

Editorial Review:

As genetic algorithms (GAs) become increasingly popular, they are applied to difficult problems that may require considerable computations. In such cases, parallel implementations of GAs become necessary to reach high-quality solutions in reasonable times. But, even though their mechanics are simple, parallel GAs are complex non-linear algorithms that are controlled by many parameters, which are not well understood. Efficient and Accurate Parallel Genetic Algorithms is about the design of parallel GAs. It presents theoretical developments that improve our understanding of the effect of the algorithm's parameters on its search for quality and efficiency. These developments are used to formulate guidelines on how to choose the parameter values that minimize the execution time while consistently reaching solutions of high quality. Efficient and Accurate Parallel Genetic Algorithms can be read in several ways, depending on the readers' interests and their previous knowledge about these algorithms. Newcomers to the field will find the background material in each chapter useful to become acquainted with previous work, and to understand the problems that must be faced to design efficient and reliable algorithms. Potential users of parallel GAs that may have doubts about their practicality or reliability may be more confident after reading this book and understanding the algorithms better. Those who are ready to try a parallel GA on their applications may choose to skim through the background material, and use the results directly without following the derivations in detail. These readers will find that using the results can help them to choose the type of parallel GA that best suits their needs, without having to invest the time to implement and test various options. Once that is settled, even the most experienced users dread the long and frustrating experience of configuring their algorithms by trial and error. The guidelines contained herein will shorten dramatically the time spent tweaking the algorithm, although some experimentation may still be needed for fine-tuning. Efficient and Accurate Parallel Genetic Algorithms is suitable as a secondary text for a graduate level course, and as a reference for researchers and practitioners in industry.

Parallel and Distributed Programming Using C++

Cameron Hughes, Tracey Hughes

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Customer Reviews:
Total reviews: 10 Average rating: 3.5 of 5

Too shallow and wide-focused 3 out of 5 stars.
10 of 11 people found this review helpful.

I gave it 3 stars only because there are few books on the subject; it deserves only 2.

The main problem I see with this book is that it tries to cover too much ground, even with subjects that it should not touch upon: there are whole chapters (7 and 9, for example) that are more about C++ than parallel or distributed programming, and one chapter (10) is about UML. Although it is interesting to see C++ and UML techniques applied to parallel and distributed programming, this leaves little space left for the coverage of MPI, for example. PVM and pthreads are given somewhat more attention, but still not nearly enough.

Another problem is that the examples are mostly incomplete code fragments. There are few complete, running examples. I hoped to see bigger examples in the last chapters (they seem like case studies), but again they are made of too much "talk" and no code.

The chapters are mostly independent of one another; it can be good if all you need is a quick first read on one of the subjects, but it gets annoying if you try to read it sequentially. Exercise for the reader: count how many times the PRAM model is cited AND explained.

To say something good about it, the book has some nice general musings about the nature and fundamental problems of concurrent systems. But it is not a coherent whole and is not particularly good at explaining any of the myriad subjects it touches upon.

Bottomline: It's neither an applied book about specific technologies, nor a general treatment. I would not buy this book unless it were very cheap. Take a look at it at the bookstore or borrow from a library, but don't spend your money.

To people wanting a general treatment about concurrency, it's principles, problems and solution space, I recommend "Concepts, Techniques and Models of Computer Programming" by Peter van Roy and Seif Haridi. It's thoroughly educational, and half of it is about concurrency (but no specific treatment of pthreads, PVM or MPI).

Editorial Review:

Today, the C++ language remains one of the most important languages used by professional software developers. Many corporations and government agencies have large investments in applications that are developed using the C++ language. Those corporations and government agencies are now Web-enabling their applications. Applications that were originally developed as simple client/server now requires Internet/Intranet face-lifts. This book helps software developers and programmers who need to add the techniques of parallel and distributed programming to existing applications. Parallel programming uses multiple computers, or computers with multiple internal processors, to solve a problem at a greater computational speed than using a single computer. It also offers the opportunity to tackle larger problems; that is, problems with more computational steps or more memory requirements.

The Grid: Blueprint for a New Computing Infrastructure

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Total reviews: 12 Average rating: 3.5 of 5

Editorial Review:

The grid promises to fundamentally change the way we think about and use computing. This infrastructure will connect multiple regional and national computational grids, creating a universal source of pervasive and dependable computing power that supports dramatically new classes of applications. The Grid provides a clear vision of what computational grids are, why we need them, who will use them, and how they will be programmed.

Inside The Grid
* Written by over 30 distinguished experts in high-performance computing and networking, including Francine Berman, Tom DeFanti, Jack Dongarra, Dennis Gannon, Roch Guerin, Ken Kennedy, Miron Livny, Paul Messina, Reagan Moore, Clifford Neuman, Larry Peterson, Jon Postel, and Daniel Reed.

* Edited by the winners of the prestigious 1998 Global Information Infrastructure Next Generation Award—an awards program characterized by U.S. Vice President Al Gore as "confirm[ing] our brightest hopes: that the positive uses of high technology will truly open up new opportunities for all Americans and improve our quality of life."

* Introduced by Larry Smarr, director of National Center for Supercomputing Applications and director of the National Computational Science Alliance, with a chapter that puts grids in context.