Parallel Processing Computers Books - Page 10

A New Era in Computation

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Editorial Review:

The transition from serial to parallel computing in which many operations are performed simultaneously and at tremendous speed, marks a new era in computation. These original essays explore the emerging modalities and potential impact of this technological revolution.

Daniel Hillis, inventor of the superfast Connection Machine®, provides a clear explanation of massively parallel computing. The essays that follow investigate the rich possibilities, as well as the constraints, that parallel computation holds for the future. These possibilities include its tremendous potential for simulating currently intractable physical processes and for solving "monster" scientific problems (involving new algorithms and ways of thinking about problem solving that will change the way we think about the world), and its use in the neural sciences (where the biological model for parallel computation is the brain). Essays also address the gap between the promise of this new technology and our current educational system and look at America's technological agenda for the 1990s.

Daniel Hillis is Chief Scientist and James Bailey is Director of Marketing, both at Thinking Machines Corporation.

Selected Essays: Preface, Stephen R. Graubard. What is Massively Parallel Computing, and Why Is It Important? W. Daniel Hillis. Complex Adaptive Systems, John H. Holland. Perspectives on Parallel Computing, Yuefan Deng, James Glimm, David H. Sharp. Parallel Billiards and Monster Systems, Brosl Hasslacher. First We Reshape Our Computers, Then Our Computers Reshape Us: The Broader Intellectual Impact of Parallelism, James Bailey. Parallelism in Conscious Experience. Robert Sokolowski. Of Time, Intelligence, and Institutions, Felix E. Browder. Parallel Computing and Education, Geoffrey C. Fox. The Age of Computing: A Personal Memoir, N. Metropolis. What Should the Public Know about Mathematics? Philip J. Davis. America's Economic-Technological Agenda for the 1990s, Jacob T. Schwartz.

A Daedalus special issue

XML for Data Architects: Designing for Reuse and Integration (The Morgan Kaufmann Series in Data Management Systems)

James Bean

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Customer Reviews:
Total reviews: 11 Average rating: 4.0 of 5

Editorial Review:

"The book addresses a sorely missing set of considerations in the real world… This is a very timely book."
-Peter Herzum, author of Business Component Factory and CEO of Herzum Software

XML is a tremendous enabler for platform agnostic data and metadata exchanges. However, there are no clear processes and techniques specifically focused on the engineering of XML structures to support reuse and integration simplicity, which are of particular importance in the age of application integration and Web services. This book describes the challenges of using XML in a manner that promotes simplification of integration, and a high degree of schema reuse. It also describes the syntactical capabilities of XML and XML Schemas, and the similarities (and in some cases limitations) of XML DTDs. This book presents combinations of architectural and design approaches to using XML as well as numerous syntactical and working examples.

* Designed to be read three different ways: skim the margin notes for quick information, or use tables in the appendix to locate sections relevant the to a particular issue, or read cover-to-cover for the in-depth treatment.
* Contains numerous tables that describe datatypes supported by the most common DBMSs and map to XML Schema supported data types.
* Unique focus on the value added role and processes of the data architect as they apply to enterprise use of XML.

Concurrency verification: introduction to compositional and noncompositional methods

Willem-Paul de Roever, Frank de Boer, Ulrich Hanneman, Jozef Hooman, Yassine Lakhnech, Mannes Poel, Job Zwiers

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Editorial Review:

This is a systematic and comprehensive introduction both to compositional proof methods for the state-based verification of concurrent programs, such as the assumption-commitment and rely-guarantee paradigms, and to noncompositional methods, whose presentation culminates in an exposition of the communication-closed-layers (CCL) paradigm for verifying network protocols. Compositional concurrency verification methods reduce the verification of a concurrent program to the independent verification of its parts. If those parts are tightly coupled, one additionally needs verification methods based on the causal order between events. These are presented using CCL. The semantic approach followed here allows a systematic presentation of all these concepts in a unified framework which highlights essential concepts. The book is self-contained, guiding the reader from advanced undergraduate level to the state-of-the-art. Every method is illustrated by examples, and a picture gallery of some of the subject's key figures complements the text.

The Teradata Database-Implementation for Performance

Brian R. Marshall

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Building Linux Clusters

David HM Spector

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Customer Reviews:
Total reviews: 13 Average rating: 2.5 of 5

Deception or Incompetence? 1 out of 5 stars.
14 of 14 people found this review helpful.

Buyer Beware! Having tried to actually build a linux cluster using David Spector's book - I am disappointed and concerned. I wish to add to the other negative reviews (has there been a positive review?) and submit the proposal that either the author is only out to sell books under the false pretense that his "How To" book can actually lead the reader to success, knowing that the instructions and software enclosed don't work; or that he has attempted to publish a book based on limited subject matter understanding of building linux clusters. Deception or Incompetence...or maybe just poor editing? I do want to try and make this linux cluster thing actually work so if anyone out there has encountered problems and has overcome them, please send me an email. This invitation also extends to the author, David Spector, of course.

Editorial Review:

One approach to building supercomputers is to interconnect any number of common PCs using an interface like Ethernet. This method, called clustering or "Beowulf" clustering, produces very inexpensive powerful computers whose capabilities would previously have cost millions of dollars. Now for a few tens of thousands of dollars, very powerful computers can be built for any number of computing solutions. From scientific applications to transaction processing, clustering technology provides an affordable, scalable computing solution. Building Linux Clusters introduces the reader to the basics of cluster installation and configuration, and comes complete with a CD full of cluster installation programs and tools for parallel programming. Focusing on the "how to" of building a Linux cluster, this book is a hands-on guide for people new to clustering. It is the definitive guide to scaling Linux for scientific and enterprise applications.

Youth, Pornography, and the Internet

Committee to Study Tools and Strategies for Protecting Kids from Pornography and Their Applicability to Other Inappropriate Internet Content, National Research Council

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Editorial Review:

Examines approaches to protecting children and teens from Internet pornography, threats from sexual predators operating on-line, and other inappropriate material on the Internet. Softcover.

Principles of the Spin Model Checker

Mordechai Ben-Ari

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Customer Reviews:
Total reviews: 1 Average rating: 4.0 of 5

Very good Introduction into SPIN and Promela. 4 out of 5 stars.
0 of 0 people found this review helpful.

I'm a computer science student and have used SPIN during my bachelor thesis. I highly recommend this book to every one who wants's to use SPIN.
The book is written in a straightforward way that can easily be understood.

Editorial Review:

Principles of Spin is an introductory book, the only requirement is a background in programming. Spin models are written in the Promela language which is easily learned by students and programmers. Spin is easy to install and use.

The Spin model checker is not only a widely used professional tool but it is also a superb tool for teaching important concepts of computer science such as verification, concurrency and nondeterminism. The book introduces Spin-based software that the author has developed for teaching: jSpin - an integrated development environment for Spin; SpinSpider - uses output from Spin to automatically construct state diagrams of concurrent programs; VN is a tool for visualizing nondeterminism.

Complete programs will demonstrate each construct and concept and these programs will be available on a companion website.

Job Scheduling Strategies for Parallel Processing: 13th International Workshop, JSSPP 2007, Seattle, WA, USA, June 17, 2007, Revised Papers (Lecture Notes in Computer Science)

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Editorial Review:

This book constitutes the thoroughly refereed post-workshop proceedings of the 13th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2007, held in Seattle, WA, USA, in June 2007, in conjunction with the 21st ACM International Conference on Supercomputing, ICS 2007.

The 10 revised full research papers presented went through the process of strict reviewing and subsequent improvement. The papers cover all current issues of job scheduling strategies for parallel processing from the supercomputer-centric viewpoint but also address many nontraditional high-performance computing and parallel environments that cannot or need not access a traditional supercomputer, such as grids, Web services, and commodity parallel computers. The papers are organized in topical sections on performance and tools, queueing systems, as well as grid and heterogeneous architectures.

Distributed Computing: Fundamentals, Simulations, and Advanced Topics (Wiley Series on Parallel and Distributed Computing)

Hagit Attiya, Jennifer Welch

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Customer Reviews:
Total reviews: 4 Average rating: 3.5 of 5

Terse prose fraught with errors and omissions 2 out of 5 stars.
10 of 12 people found this review helpful.

I've struggled to read this text, since it contains many very recent results distilled into intelligently organized chapters. Unfortunately, even though this book is intended for a savvy audience, the text is often too detailed and technical, while important "big picture" intuition is never relayed. Frequent errors in the algorithms and proofs, ranging from simple subscript swaps to more subtle errors in logic to the (rarer) complete lack of logic make this a difficult book to recommend. In addition, the exercises are frequently too vague (sometimes meaningless) -- this book is definitely not recommended for class work.

Editorial Review:

Divided into three information packed parts, Distributed Computing provides a broad-ranging introduction to the theory of distributed computing. The first part covers the fundamental models, issues, and techniques. Part II is organized around key simulations in distributed computing, and their applications. Part III consists of a sampling of more advanced topics.

High Performance Computing: Challenges for Future Systems

David J. Kuck

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Editorial Review:

High performance computing--from PCs to supercomputers--is in a confused state: which architecture, how much parallelism, which software, and when to innovate are all commonly heard questions. The confusion ranges across industry, government, and academia; technical difficulties and policy issues are closely linked. This text clarifies a number of technical points and policy directions in proposing steps toward practical processing. Computing as a whole is at a crossroads because hardware technology appears unable to provide continuing speed increases; parallel architectures and software are not sufficiently developed to provide the practical solutions that have seemed tantalizingly close for some time. After more than a decade of commercial development, no standard or widely accepted systems have emerged. This text defines practical parallelism tests and suggests how they can be passed, by giving specific technical suggestions and by outlining policy steps that should be taken. Students in high performance computing courses will benefit from the text's discussion of these major issues, as they will be dealing with these problems now and in the future.