This reference on parallel computing describes the current theory and application of these systems, covering applications in which parallel computing is being used.

Parallel and Distributed Computing Handbook

Computers & Technology

Zomaya, Albert Y.

Computer Science

McGraw-Hill Professional

A visual, interdisciplinary approach to solving problems in numerical methods 
Computing for Numerical Methods Using Visual C++ fills the need for a complete, authoritative book on the visual solutions to problems in numerical methods using C++. In an age of boundless research, there is a need for a programming language that can successfully bridge the communication gap between a problem and its computing elements through the use of visual-ization for engineers and members of varying disciplines, such as biologists, medical doctors, mathematicians, economists, and politicians. This book takes an interdisciplinary approach to the subject and demonstrates how solving problems in numerical methods using C++ is dominant and practical for implementation due to its flexible language format, object-oriented methodology, and support for high numerical precisions. In an accessible, easy-to-follow style, the authors cover: <ul>
<li> Numerical modeling using C++ </li> <li> Fundamental mathematical tools </li> <li> MFC interfaces </li> <li> Curve visualization </li> <li> Systems of linear equations </li> <li> Nonlinear equations </li> <li> Interpolation and approximation </li> <li> Differentiation and integration </li> <li> Eigenvalues and Eigenvectors </li> <li> Ordinary differential equations </li> <li> Partial differential equations </li> </ul>
This reader-friendly book includes a companion Web site, giving readers free access to all of the codes discussed in the book as well as an equation parser called "MyParser" that can be used to develop various numerical applications on Windows. Computing for Numerical Methods Using Visual C++ serves as an excellent reference for students in upper undergraduate- and graduate-level courses in engineering, science, and mathematics. It is also an ideal resource for practitioners using Microsoft Visual C++.

Computing for Numerical Methods Using Visual C++

Salleh, Shaharuddin

Bakar, Sakhinah A.

Wiley-Interscience

This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles have failed, in offering a wide range of information from the introductory fundamentals right up to the latest, most advanced levels of study.

Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications

Science & Math

Elloumi, Mourad

Biological Sciences

wiley

Dependable Computing Systems: Paradigms, Performance Issues, and Applications (Wiley Series on Parallel and Distributed Computing)

A team of recognized experts leads the way to dependable computing systems With computers and networks pervading every aspect of daily life, there is an ever-growing demand for dependability. In this unique resource, researchers and organizations will find the tools needed to identify and engage state-of-the-art approaches used for the specification, design, and assessment of dependable computer systems. The first part of the book addresses models and paradigms of dependable computing, and the second part deals with enabling technologies and applications. Tough issues in creating dependable computing systems are also tackled, including: * Verification techniques * Model-based evaluation * Adjudication and data fusion * Robust communications primitives * Fault tolerance * Middleware * Grid security * Dependability in IBM mainframes * Embedded software * Real-time systems Each chapter of this contributed work has been authored by a recognized expert. This is an excellent textbook for graduate and advanced undergraduate students in electrical engineering, computer engineering, and computer science, as well as a must-have reference that will help engineers, programmers, and technologists develop systems that are secure and reliable.

Diab, Hassan B.

A team of recognized experts leads the way to dependable computing systemsWith computers and networks pervading every aspect of daily life, there is an ever-growing demand for dependability. In this unique resource, researchers and organizations will find the tools needed to identify and engage state-of-the-art approaches used for the specification, design, and assessment of dependable computer systems.The first part of the book addresses models and paradigms of dependable computing, and the second part deals with enabling technologies and applications. Tough issues in creating dependable computing systems are also tackled, including:* Verification techniques* Model-based evaluation* Adjudication and data fusion* Robust communications primitives* Fault tolerance* Middleware* Grid security* Dependability in IBM mainframes* Embedded software* Real-time systemsEach chapter of this contributed work has been authored by a recognized expert. This is an excellent textbook for graduate and advanced undergraduate students in electrical engineering, computer engineering, and computer science, as well as a must-have reference that will help engineers, programmers, and technologists develop systems that are secure and reliable.

Using a series of rigorous authentic examples, the authors demonstrate several simple yet practical techniques for utilizing adaptive neural networks to produce more efficient process control. Their in-depth description of implementation issues offers a wealth of pragmatic wisdom.

Neuro-Adaptive Process Control: A Practical Approach

Tadé, Moses O.

Mills, Peter M.

Scheduling in Parallel Computing Systems: Fuzzy and Annealing Techniques advocates the viability of using fuzzy and annealing methods in solving scheduling problems for parallel computing systems. The book proposes new techniques for both static and dynamic scheduling, using emerging paradigms that are inspired by natural phenomena such as fuzzy logic, mean-field annealing, and simulated annealing. Systems that are designed using such techniques are often referred to in the literature as `intelligent' because of their capability to adapt to sudden changes in their environments. Moreover, most of these changes cannot be anticipated in advance or included in the original design of the system. Scheduling in Parallel Computing Systems: Fuzzy and Annealing Techniques provides results that prove such approaches can become viable alternatives to orthodox solutions to the scheduling problem, which are mostly based on heuristics. Although heuristics are robust and reliable when solving certain instances of the scheduling problem, they do not perform well when one needs to obtain solutions to general forms of the scheduling problem. On the other hand, techniques inspired by natural phenomena have been successfully applied for solving a wide range of combinatorial optimization problems (e.g. traveling salesman, graph partitioning). The success of these methods motivated their use in this book to solve scheduling problems that are known to be formidable combinatorial problems. Scheduling in Parallel Computing Systems: Fuzzy and Annealing Techniques is an excellent reference and may be used for advanced courses on the topic.

Scheduling in Parallel Computing Systems: Fuzzy and Annealing Techniques (The Springer International Series in Engineering and Computer Science, 510)

Springer

The first comprehensive overview of preprocessing, mining, and postprocessing of biological data Molecular biology is undergoing exponential growth in both the volume and complexity of biological data—and knowledge discovery offers the capacity to automate complex search and data analysis tasks. This book presents a vast overview of the most recent developments on techniques and approaches in the field of biological knowledge discovery and data mining (KDD)—providing in-depth fundamental and technical field information on the most important topics encountered. Written by top experts, Biological Knowledge Discovery Handbook: Preprocessing, Mining, and Postprocessing of Biological Data covers the three main phases of knowledge discovery (data preprocessing, data processing—also known as data mining—and data postprocessing) and analyzes both verification systems and discovery systems. BIOLOGICAL DATA PREPROCESSING  Part A: Biological Data Management Part B: Biological Data Modeling Part C: Biological Feature Extraction Part D Biological Feature Selection  BIOLOGICAL DATA MINING  Part E: Regression Analysis of Biological Data Part F Biological Data Clustering Part G: Biological Data Classification Part H: Association Rules Learning from Biological Data Part I: Text Mining and Application to Biological Data Part J: High-Performance Computing for Biological Data Mining  Combining sound theory with practical applications in molecular biology, Biological Knowledge Discovery Handbook is ideal for courses in bioinformatics and biological KDD as well as for practitioners and professional researchers in computer science, life science, and mathematics.

Biological Knowledge Discovery Handbook: Preprocessing, Mining and Postprocessing of Biological Data

Reviews the latest advances in the all-important field of scalable computing In telecommunications and software engineering, scalability is the ability of a system, network, or process to either handle growing amounts of work in a graceful manner or be enlarged to accommodate that growth. It is a desirable property for many scientific, industrial, and business applications and an important feature for hardware. This immersive book summarizes the latest research achievements in the field of scalable computing and covers new topics that have emerged recently on computing and communications, such as unconventional computing, green and sustainable computing, cloud and volunteer computing, and more. Filled with contributions from world-renowned engineers, researchers, and IT professionals in diverse areas, Scalable Computing and Communications covers:  Circuit and component design Operating systems Green computing Network-on-chip paradigms Computational grids High-performance computing Software Networking in scalable computing and mobile computing Next-generation networking Cloud computing Peer-to-peer systems  Scalable Computing and Communications is well organized with basic concepts, software infrastructure and middleware, and applications and systems. Filled with numerous case studies, figures, and tables, it is a valuable book that offers great insight into future trends and emerging topics for professionals and students in the field.

Scalable Computing and Communications: Theory and Practice

Wang, Lizhe

Khan, Samee U.

Wiley-IEEE Computer Society Pr

Energy Efficient Distributed Computing Systems (Wiley Series on Parallel and Distributed Computing (eBook))

See the best price to sell, buy, or rent books by Zomaya, Albert Y.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Zomaya, Albert Y.

See the best price to sell, buy, or rent books by Zomaya, Albert Y.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Parallel and Distributed Computing Handbook

Computing for Numerical Methods Using Visual C++

Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications

Dependable Computing Systems: Paradigms, Performance Issues, and Applications (Wiley Series on Parallel and Distributed Computing)

Dependable Computing Systems: Paradigms, Performance Issues, and Applications (Wiley Series on Parallel and Distributed Computing)

Neuro-Adaptive Process Control: A Practical Approach

Scheduling in Parallel Computing Systems: Fuzzy and Annealing Techniques (The Springer International Series in Engineering and Computer Science, 510)

Biological Knowledge Discovery Handbook: Preprocessing, Mining and Postprocessing of Biological Data

Scalable Computing and Communications: Theory and Practice

Energy Efficient Distributed Computing Systems (Wiley Series on Parallel and Distributed Computing (eBook))