Parallel Processing Computers Books - Page 11

Quantum Computing (Natural Computing Series)

Mika Hirvensalo

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Customer Reviews:
Total reviews: 3 Average rating: 5.0 of 5

For the classrom. 5 out of 5 stars.
21 of 21 people found this review helpful.

There is, by now, some variety of textbooks to choose from, covering quantum computing and quantum information;-- the output of research papers has been explosive since Peter Shor discovered his algorithm. Two books stand out as being especially ready for use in the class room, the one by Nielsen-Chuang, and the present one by Hirvensalo. The first covers more ground in physics (theory), and has a bigger selection of exercises;-- the second stresses the math and the CS side of the subject;-- it has more worked examples. It can be readily used in the classroom in a one semester course, and it will go over well with students in both math and in CS. The level is even, and a beginning student can progress in steps, following the text, and doing the exercises.

Editorial Review:

This book is devoted to quantum computing, a new, multidisciplinary research area crossing quantum mechanics, theoretical computer science and mathematics. It contains an introduction to quantum computing as well as the most important recent results on the topic. Two famous algorithms, fast factorization and Grover search, are presented in separate chapters because these inventions are important structurally and developmentally.

The presentation of the topic is uniform and computer science-oriented. Thus, the book differs from most of the previous ones which are mainly physics-oriented. The special style of presentation makes the theory of quantum computing accessible to a larger audience, including also the mathematics-oriented oriented readers. Many examples and exercises ease the understanding.

In this edition new perspectives on quantum information have been added, and numerous corrections, amendments and extensions have been incorporated throughout the text.

Embedded Multitasking (Embedded Technology)

Keith E. Curtis

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Total reviews: 2 Average rating: 2.5 of 5

Editorial Review:

In an embedded system, firmware is the software that directly interfaces with the microcontroller, controlling the system's function. The major forces driving the embedded firmware development process today are reduced development times, increased complexity, and the need to handle multiple tasks simultaneously. These forces translate into strenuous design requirements for embedded engineers and programmers. Many low-level embedded microcontroller designs have insufficient memory and/or architectural limitations that make the use of a real-time operating system impractical. The techniques presented in this book allow the design of robust multitasking firmware through the use of interleaved state machines. This book presents a complete overview of multitasking terminology and basic concepts. Practical criteria for task selection and state machine design are also discussed.
Designing multitasking firmware is arduous, complex and fraught with potential for errors, and there is no one, "standard" way to do it. This book will present a complete and well-organized design approach with examples and sample source code that designers can follow.

* Covers every aspect of design from the system level to the component level, including system timing, communicating with the hardware, integration and testing.
* Accompanying CD-ROM contains the source code for the text examples and other useful design tools.

Temporal Verification of Reactive Systems: Safety

Zohar Manna, Amir Pnueli

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Total reviews: 1 Average rating: 5.0 of 5

Easy to understand 5 out of 5 stars.
0 of 1 people found this review helpful.

This books works as a very good introduction to program verification. Topics are presented at a proper pace. Algorithms are explained clearly. Sometimes there might seem to be too much detail, but it is indeed necessary.

Editorial Review:

This book presents an extensive verification methodology for proving that reactive systems meet their specifications, expressed as safety properties in the language of temporal logic. The methods include deductive approaches based on theorem proving and fully automatic approaches based on model checking. All researchers and students interested in the analysis and verification of reactive and concurrent systems will find this book to be a comprehensive guide on how formal techniques can be used to ensure the correctness of such systems. An educational version of the Stanford Temporal Prover (STeP), a tool which supports the verification of reactive systems, is available for use with this book.

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

Erick Cantu-Paz

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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.

High-Level Parallel Programming Models and Supportive Environments: 6th International Workshop, HIPS 2001 San Francisco, CA, USA, April 23, 2001 Proceedings (Lecture Notes in Computer Science)

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Editorial Review:

This book constitutes the refereed proceedings of the 6th International Workshop on High-Level Parallel Programming Models and Supportive Environments, HIPS 2001, held in San Francisco, CA, USA in April 2001.
The 10 revised full papers presented were carefully reviewed and selected out of 20 submissions. The focus of the book is on high-level programming of networks of workstations, computing clusters, and massively parallel machines. Among the issues addressed are language design, compilers, system architectures, programming tools, and advanced applications.

Advanced Computer Architecture and Parallel Processing (Wiley Series on Parallel and Distributed Computing) (v. 2)

Hesham El-Rewini, Mostafa Abd-El-Barr

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Editorial Review:

Computer architecture deals with the physical configuration, logical structure, formats, protocols, and operational sequences for processing data, controlling the configuration, and controlling the operations over a computer. It also encompasses word lengths, instruction codes, and the interrelationships among the main parts of a computer or group of computers. This two-volume set offers a comprehensive coverage of the field of computer organization and architecture.

Advanced Computer Architecture: Parallelism, Scalability, Programmability

Kai Hwang

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Customer Reviews:
Total reviews: 1 Average rating: 5.0 of 5

It is really a very good book for Computer Science students 5 out of 5 stars.
9 of 17 people found this review helpful.

This is an excellent book especially for students who want to do Masters in Computer Science & Engineering. Concept of Parallel processing, multistage Unix Kernel etc. are excellent. More detailed discussion on SuperComputer Architecture with diagrams are required.

Editorial Review:

This book deals with advanced computer architecture and parallel programming techniques. The material is suitable for use as a textbook in a one-semester graduate or senior course, offered by Computer Science, Computer Engineering, Electrical Engineering, or Industrial Engineering programs.

Computer Architecture: Single and Parallel Systems

Mehdi R. Zargham

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Excellent for understanding computer architecture. 5 out of 5 stars.
0 of 0 people found this review helpful.

I have read almost 50% of this book thoroughly and found to be very good ,especially the chapter where he explains the memories, cache and other associative memory architectures. There is chapter on pipelining and instruction level parallelism is the best.The book also explains various computer architectures.Book also explains the semaphores and mutexes from the firemware perspective.The appendix also tells very good explanation of the digital logic,especially state machine design etc. Overall if you are doing logic design (esp controllers) in verilog or VHDL and you look for implementation architectures this book will change your outlook.

PVM: Parallel Virtual Machine: A Users' Guide and Tutorial for Network Parallel Computing (Scientific and Engineering Computation)

Al Geist, Adam Beguelin, Jack Dongarra, Weicheng Jiang, Robert Manchek, Vaidyalingam S. Sunderam

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Editorial Review:

Written by the team that developed the software, this tutorial is the definitive resource for scientists, engineers, and other computer users who want to use PVM to increase the flexibility and power of their high-performance computing resources. PVM introduces distributed computing, discusses where and how to get the PVM software, provides an overview of PVM and a tutorial on setting up and running existing programs, and introduces basic programming techniques including putting PVM in existing code. There are program examples and details on how PVM works on UNIX and multiprocessor systems, along with advanced topics (portability, debugging, improving performance) and troubleshooting.

PVM (Parallel Virtual Machine) is a software package that enables the computer user to define a networked heterogeneous collection of serial, parallel, and vector computers to function as one large computer. It can be used as stand-alone software or as a foundation for other heterogeneous network software. PVM may be configured to contain various machine architectures, including sequential processors, vector processors, and multicomputers, and it can be ported to new computer architectures that may emerge.

Solving Problems on Concurrent Processors: Software for Concurrent Processors

Jai Sam Kim, David W. Walker

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Total reviews: 1 Average rating: 5.0 of 5

Personal Experience tells me this must be a good book 5 out of 5 stars.
0 of 0 people found this review helpful.

I havent read the book but the author is my father and I can attest to the fact that he is quite a clever man and therefore this book probably is as well.