Handbook Of Parallel Computing And Statistics
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| Author | : Erricos John Kontoghiorghes |
| Publisher | : CRC Press |
| Total Pages | : 560 |
| Release | : 2005-12-21 |
| Genre | : Computers |
| ISBN | : 9781420028683 |
Download Handbook of Parallel Computing and Statistics Book in PDF, Epub and Kindle
Technological improvements continue to push back the frontier of processor speed in modern computers. Unfortunately, the computational intensity demanded by modern research problems grows even faster. Parallel computing has emerged as the most successful bridge to this computational gap, and many popular solutions have emerged based on its concepts
| Author | : Sanguthevar Rajasekaran |
| Publisher | : CRC Press |
| Total Pages | : 1224 |
| Release | : 2007-12-20 |
| Genre | : Computers |
| ISBN | : 1420011294 |
Download Handbook of Parallel Computing Book in PDF, Epub and Kindle
The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and Applications provides comprehensive coverage on a
| Author | : Jacek Blazewicz |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 645 |
| Release | : 2013-03-09 |
| Genre | : Computers |
| ISBN | : 3662043033 |
Download Handbook on Parallel and Distributed Processing Book in PDF, Epub and Kindle
Here, authors from academia and practice provide practitioners, scientists and graduates with basic methods and paradigms, as well as important issues and trends across the spectrum of parallel and distributed processing. In particular, they cover such fundamental topics as efficient parallel algorithms, languages for parallel processing, parallel operating systems, architecture of parallel and distributed systems, management of resources, tools for parallel computing, parallel database systems and multimedia object servers, as well as the relevant networking aspects. A chapter is dedicated to each of parallel and distributed scientific computing, high-performance computing in molecular sciences, and multimedia applications for parallel and distributed systems.
| Author | : Yuichi Mori |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 1096 |
| Release | : 2004-07-14 |
| Genre | : Computers |
| ISBN | : 9783540404644 |
Download Handbook of Computational Statistics Book in PDF, Epub and Kindle
The Handbook of Computational Statistics: Concepts and Methodology is divided into four parts. It begins with an overview over the field of Computational Statistics. The second part presents several topics in the supporting field of statistical computing. Emphasis is placed on the need of fast and accurate numerical algorithms and it discusses some of the basic methodologies for transformation, data base handling and graphics treatment. The third part focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Finally a set of selected applications like Bioinformatics, Medical Imaging, Finance and Network Intrusion Detection highlight the usefulness of computational statistics.
| Author | : Borko Furht |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 795 |
| Release | : 2011-12-10 |
| Genre | : Computers |
| ISBN | : 1461414156 |
Download Handbook of Data Intensive Computing Book in PDF, Epub and Kindle
Data Intensive Computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies. The challenge of data intensive computing is to provide the hardware architectures and related software systems and techniques which are capable of transforming ultra-large data into valuable knowledge. Handbook of Data Intensive Computing is written by leading international experts in the field. Experts from academia, research laboratories and private industry address both theory and application. Data intensive computing demands a fundamentally different set of principles than mainstream computing. Data-intensive applications typically are well suited for large-scale parallelism over the data and also require an extremely high degree of fault-tolerance, reliability, and availability. Real-world examples are provided throughout the book. Handbook of Data Intensive Computing is designed as a reference for practitioners and researchers, including programmers, computer and system infrastructure designers, and developers. This book can also be beneficial for business managers, entrepreneurs, and investors.
| Author | : Albert Y. Zomaya |
| Publisher | : McGraw Hill Professional |
| Total Pages | : 1244 |
| Release | : 1996 |
| Genre | : Computers |
| ISBN | : 9780070730205 |
Download Parallel and Distributed Computing Handbook Book in PDF, Epub and Kindle
With over 1,000 pages and a wealth of illustrations and data tables, this handbook offers readers the first information source with the scope to encompass the parallel and distributed computing revolution. Written by an international team of experts, the book summarizes the current state of the art, interprets the most promising trends, and spotlights commercial applications.
| Author | : L. Ridgway Scott |
| Publisher | : Princeton University Press |
| Total Pages | : 392 |
| Release | : 2021-03-09 |
| Genre | : Computers |
| ISBN | : 0691227659 |
Download Scientific Parallel Computing Book in PDF, Epub and Kindle
What does Google's management of billions of Web pages have in common with analysis of a genome with billions of nucleotides? Both apply methods that coordinate many processors to accomplish a single task. From mining genomes to the World Wide Web, from modeling financial markets to global weather patterns, parallel computing enables computations that would otherwise be impractical if not impossible with sequential approaches alone. Its fundamental role as an enabler of simulations and data analysis continues an advance in a wide range of application areas. Scientific Parallel Computing is the first textbook to integrate all the fundamentals of parallel computing in a single volume while also providing a basis for a deeper understanding of the subject. Designed for graduate and advanced undergraduate courses in the sciences and in engineering, computer science, and mathematics, it focuses on the three key areas of algorithms, architecture, languages, and their crucial synthesis in performance. The book's computational examples, whose math prerequisites are not beyond the level of advanced calculus, derive from a breadth of topics in scientific and engineering simulation and data analysis. The programming exercises presented early in the book are designed to bring students up to speed quickly, while the book later develops projects challenging enough to guide students toward research questions in the field. The new paradigm of cluster computing is fully addressed. A supporting web site provides access to all the codes and software mentioned in the book, and offers topical information on popular parallel computing systems. Integrates all the fundamentals of parallel computing essential for today's high-performance requirements Ideal for graduate and advanced undergraduate students in the sciences and in engineering, computer science, and mathematics Extensive programming and theoretical exercises enable students to write parallel codes quickly More challenging projects later in the book introduce research questions New paradigm of cluster computing fully addressed Supporting web site provides access to all the codes and software mentioned in the book
| Author | : Zbigniew J. Czech |
| Publisher | : Cambridge University Press |
| Total Pages | : 383 |
| Release | : 2017-01-11 |
| Genre | : Computers |
| ISBN | : 1316802787 |
Download Introduction to Parallel Computing Book in PDF, Epub and Kindle
The constantly increasing demand for more computing power can seem impossible to keep up with. However, multicore processors capable of performing computations in parallel allow computers to tackle ever larger problems in a wide variety of applications. This book provides a comprehensive introduction to parallel computing, discussing theoretical issues such as the fundamentals of concurrent processes, models of parallel and distributed computing, and metrics for evaluating and comparing parallel algorithms, as well as practical issues, including methods of designing and implementing shared- and distributed-memory programs, and standards for parallel program implementation, in particular MPI and OpenMP interfaces. Each chapter presents the basics in one place followed by advanced topics, allowing novices and experienced practitioners to quickly find what they need. A glossary and more than 80 exercises with selected solutions aid comprehension. The book is recommended as a text for advanced undergraduate or graduate students and as a reference for practitioners.
| Author | : James E. Gentle |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2017-05-04 |
| Genre | : Computers |
| ISBN | : 9783662517659 |
Download Handbook of Computational Statistics Book in PDF, Epub and Kindle
The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with "How Computational Statistics became the backbone of modern data science" (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current active research. The second part (Chs. 2 - 15) presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies for transformation, database handling, high-dimensional data and graphics treatment are discussed. The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Lastly, a set of selected applications (Chs. 34 - 38) like Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of computational statistics in real-world applications.
| Author | : Jacek Blazewicz |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 586 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 3540247424 |
Download Handbook on Data Management in Information Systems Book in PDF, Epub and Kindle
The Handbook provides practitioners, scientists and graduate students with a good overview of basic notions, methods and techniques, as well as important issues and trends across the broad spectrum of data management. In particular, the book covers fundamental topics in the field such as distributed databases, parallel databases, advanced databases, object-oriented databases, advanced transaction management, workflow management, data warehousing, data mining, mobile computing, data integration and the Web. Summing up, the Handbook is a valuable source of information for academics and practitioners who are interested in learning the key ideas in the considered area.
