Introduction to Parallel Programming

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In modern computer science, there exists no truly sequential computing system; and most advanced programming is parallel programming. This is particularly evident in modern application domains like scientific computation, data science, machine intelligence, etc. This lucid introductory textbook will be invaluable to students of computer science and technology, acting as a self-contained primer to parallel programming. It takes the reader from introduction to expertise, addressing a broad gamut of issues. It covers different parallel programming styles, describes parallel architecture, includes parallel programming frameworks and techniques, presents algorithmic and analysis techniques and discusses parallel design and performance issues. With its broad coverage, the book can be useful in a wide range of courses; and can also prove useful as a ready reckoner for professionals in the field. Features a holistic and in-depth look at basic parallel programming Equal emphasis on both the theoretical underpinnings and practical applications of the subject A large number of illustrations to explain the concepts and techniques Objectives and important ideas introduced in each chapter is highlighted A supplements package comprising a solutions manual, and teaching aids for instructors

PARALLEL ALGORITHMS

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Description Chapters Authors Supplementary This book is an introduction to the field of parallel algorithms and the underpinning techniques to realize the parallelization. The emphasis is on designing algorithms within the timeless and abstracted context of a high-level programming language. The focus of the presentation is on practical applications of the algorithm design using different models of parallel computation. Each model is illustrated by providing an adequate number of algorithms to solve some problems that quite often arise in many applications in science and engineering. The book is largely self-contained, presuming no special knowledge of parallel computers or particular mathematics. In addition, the solutions to all exercises are included at the end of each chapter. The book is intended as a text in the field of the design and analysis of parallel algorithms. It includes adequate material for a course in parallel algorithms at both undergraduate and graduate levels. Request Inspection Copy Sample Chapter(s) Preface Chapter 8: Optical Transpose Interconnection System (OTIS) Contents: Introduction Shared-memory Computers (PRAM) The Hypercube The Linear Array and the Mesh Fast Fourier Transform Tree-based Networks The Star Network Optical Transpose Interconnection Systems (OTIS) Systolic Computations Readership: Advanced undergraduate and graduate students studying parallel algorithms.