Elements of Parallel Computing
Title | Elements of Parallel Computing PDF eBook |
Author | Eric Aubanel |
Publisher | CRC Press |
Total Pages | 238 |
Release | 2016-12-08 |
Genre | Computers |
ISBN | 1351979507 |
Designed for introductory parallel computing courses at the advanced undergraduate or beginning graduate level, Elements of Parallel Computing presents the fundamental concepts of parallel computing not from the point of view of hardware, but from a more abstract view of algorithmic and implementation patterns. The aim is to facilitate the teaching of parallel programming by surveying some key algorithmic structures and programming models, together with an abstract representation of the underlying hardware. The presentation is friendly and informal. The content of the book is language neutral, using pseudocode that represents common programming language models. The first five chapters present core concepts in parallel computing. SIMD, shared memory, and distributed memory machine models are covered, along with a brief discussion of what their execution models look like. The book also discusses decomposition as a fundamental activity in parallel algorithmic design, starting with a naive example, and continuing with a discussion of some key algorithmic structures. Important programming models are presented in depth, as well as important concepts of performance analysis, including work-depth analysis of task graphs, communication analysis of distributed memory algorithms, key performance metrics, and a discussion of barriers to obtaining good performance. The second part of the book presents three case studies that reinforce the concepts of the earlier chapters. One feature of these chapters is to contrast different solutions to the same problem, using select problems that aren't discussed frequently in parallel computing textbooks. They include the Single Source Shortest Path Problem, the Eikonal equation, and a classical computational geometry problem: computation of the two-dimensional convex hull. After presenting the problem and sequential algorithms, each chapter first discusses the sources of parallelism then surveys parallel algorithms.
Elements of Parallel Computing
Title | Elements of Parallel Computing PDF eBook |
Author | V. Rajaraman |
Publisher | PHI Learning Pvt. Ltd. |
Total Pages | 164 |
Release | 2006 |
Genre | Parallel computers |
ISBN | 9788120306387 |
Introduction to Parallel Computing
Title | Introduction to Parallel Computing PDF eBook |
Author | Vipin Kumar |
Publisher | Addison Wesley Longman |
Total Pages | 632 |
Release | 1994 |
Genre | Computers |
ISBN |
Mathematics of Computing -- Parallelism.
Introduction to Parallel Computing
Title | Introduction to Parallel Computing PDF eBook |
Author | Ananth Grama |
Publisher | Pearson Education |
Total Pages | 664 |
Release | 2003 |
Genre | Computers |
ISBN | 9780201648652 |
A complete source of information on almost all aspects of parallel computing from introduction, to architectures, to programming paradigms, to algorithms, to programming standards. It covers traditional Computer Science algorithms, scientific computing algorithms and data intensive algorithms.
Parallel Processing for Scientific Computing
Title | Parallel Processing for Scientific Computing PDF eBook |
Author | Michael A. Heroux |
Publisher | SIAM |
Total Pages | 421 |
Release | 2006-01-01 |
Genre | Computers |
ISBN | 9780898718133 |
Parallel processing has been an enabling technology in scientific computing for more than 20 years. This book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific problems. Presently, the impact of parallel processing on scientific computing varies greatly across disciplines, but it plays a vital role in most problem domains and is absolutely essential in many of them. Parallel Processing for Scientific Computing is divided into four parts: The first concerns performance modeling, analysis, and optimization; the second focuses on parallel algorithms and software for an array of problems common to many modeling and simulation applications; the third emphasizes tools and environments that can ease and enhance the process of application development; and the fourth provides a sampling of applications that require parallel computing for scaling to solve larger and realistic models that can advance science and engineering.
Applied Parallel Computing
Title | Applied Parallel Computing PDF eBook |
Author | Yuefan Deng |
Publisher | World Scientific |
Total Pages | 218 |
Release | 2013 |
Genre | Computers |
ISBN | 9814307602 |
The book provides a practical guide to computational scientists and engineers to help advance their research by exploiting the superpower of supercomputers with many processors and complex networks. This book focuses on the design and analysis of basic parallel algorithms, the key components for composing larger packages for a wide range of applications.
Patterns for Parallel Software Design
Title | Patterns for Parallel Software Design PDF eBook |
Author | Jorge Luis Ortega-Arjona |
Publisher | John Wiley & Sons |
Total Pages | 438 |
Release | 2010-06-15 |
Genre | Computers |
ISBN | 9780470970874 |
Essential reading to understand patterns for parallel programming Software patterns have revolutionized the way we think about how software is designed, built, and documented, and the design of parallel software requires you to consider other particular design aspects and special skills. From clusters to supercomputers, success heavily depends on the design skills of software developers. Patterns for Parallel Software Design presents a pattern-oriented software architecture approach to parallel software design. This approach is not a design method in the classic sense, but a new way of managing and exploiting existing design knowledge for designing parallel programs. Moreover, such approaches enhance not only build-time properties of parallel systems, but also, and particularly, their run-time properties. Features known solutions in concurrent and distributed programming, applied to the development of parallel programs Provides architectural patterns that describe how to divide an algorithm and/or data to find a suitable partition and link it with a programming structure that allows for such a division Presents an architectural point of view and explains the development of parallel software Patterns for Parallel Software Design will give you the skills you need to develop parallel software.