Books in Parallel and distributed computing

21-30 of 64 results in All results

Problem-solving in High Performance Computing

• 1st Edition
• September 1, 2015
• Igor Ljubuncic
• English
• Paperback 978-0-12-801019-8

  9 7 8 - 0 - 1 2 - 8 0 1 0 1 9 - 8
• eBook 978-0-12-801064-8

  9 7 8 - 0 - 1 2 - 8 0 1 0 6 4 - 8

Problem-Solving in High Performance Computing: A Situational Awareness Approach with Linux focuses on understanding giant computing grids as cohesive systems. Unlike other titles on general problem-solving or system administration, this book offers a cohesive approach to complex, layered environments, highlighting the difference between standalone system troubleshooting and complex problem-solving in large, mission critical environments, and addressing the pitfalls of information overload, micro, and macro symptoms, also including methods for managing problems in large computing ecosystems. The authors offer perspective gained from years of developing Intel-based systems that lead the industry in the number of hosts, software tools, and licenses used in chip design. The book offers unique, real-life examples that emphasize the magnitude and operational complexity of high performance computer systems.

Topics in Parallel and Distributed Computing

• 1st Edition
• August 21, 2015
• Sushil K Prasad + 4 more
• English
• Paperback 978-0-12-803899-4

  9 7 8 - 0 - 1 2 - 8 0 3 8 9 9 - 4
• eBook 978-0-12-803938-0

  9 7 8 - 0 - 1 2 - 8 0 3 9 3 8 - 0

Topics in Parallel and Distributed Computing provides resources and guidance for those learning PDC as well as those teaching students new to the discipline. The pervasiveness of computing devices containing multicore CPUs and GPUs, including home and office PCs, laptops, and mobile devices, is making even common users dependent on parallel processing. Certainly, it is no longer sufficient for even basic programmers to acquire only the traditional sequential programming skills. The preceding trends point to the need for imparting a broad-based skill set in PDC technology. However, the rapid changes in computing hardware platforms and devices, languages, supporting programming environments, and research advances, poses a challenge both for newcomers and seasoned computer scientists. This edited collection has been developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts into courses throughout computer science curricula.

High Performance Parallelism Pearls Volume Two

• 1st Edition
• July 23, 2015
• Jim Jeffers + 1 more
• English
• Paperback 978-0-12-803819-2

  9 7 8 - 0 - 1 2 - 8 0 3 8 1 9 - 2
• eBook 978-0-12-803890-1

  9 7 8 - 0 - 1 2 - 8 0 3 8 9 0 - 1

High Performance Parallelism Pearls Volume 2 offers another set of examples that demonstrate how to leverage parallelism. Similar to Volume 1, the techniques included here explain how to use processors and coprocessors with the same programming – illustrating the most effective ways to combine Xeon Phi coprocessors with Xeon and other multicore processors. The book includes examples of successful programming efforts, drawn from across industries and domains such as biomed, genetics, finance, manufacturing, imaging, and more. Each chapter in this edited work includes detailed explanations of the programming techniques used, while showing high performance results on both Intel Xeon Phi coprocessors and multicore processors. Learn from dozens of new examples and case studies illustrating "success stories" demonstrating not just the features of Xeon-powered systems, but also how to leverage parallelism across these heterogeneous systems.

Systems Programming

• 1st Edition
• February 25, 2015
• Richard Anthony
• English
• Paperback 978-0-12-800729-7

  9 7 8 - 0 - 1 2 - 8 0 0 7 2 9 - 7
• eBook 978-0-12-800817-1

  9 7 8 - 0 - 1 2 - 8 0 0 8 1 7 - 1

Systems Programming: Designing and Developing Distributed Applications explains how the development of distributed applications depends on a foundational understanding of the relationship among operating systems, networking, distributed systems, and programming. Uniquely organized around four viewpoints (process, communication, resource, and architecture), the fundamental and essential characteristics of distributed systems are explored in ways which cut across the various traditional subject area boundaries. The structures, configurations and behaviours of distributed systems are all examined, allowing readers to explore concepts from different perspectives, and to understand systems in depth, both from the component level and holistically.

Multicore and GPU Programming

• 1st Edition
• December 16, 2014
• Gerassimos Barlas
• English
• eBook 978-0-12-417140-4

  9 7 8 - 0 - 1 2 - 4 1 7 1 4 0 - 4

Multicore and GPU Programming offers broad coverage of the key parallel computing skillsets: multicore CPU programming and manycore "massively parallel" computing. Using threads, OpenMP, MPI, and CUDA, it teaches the design and development of software capable of taking advantage of today’s computing platforms incorporating CPU and GPU hardware and explains how to transition from sequential programming to a parallel computing paradigm. Presenting material refined over more than a decade of teaching parallel computing, author Gerassimos Barlas minimizes the challenge with multiple examples, extensive case studies, and full source code. Using this book, you can develop programs that run over distributed memory machines using MPI, create multi-threaded applications with either libraries or directives, write optimized applications that balance the workload between available computing resources, and profile and debug programs targeting multicore machines.

Service Computing: Concept, Method and Technology

• 1st Edition
• December 6, 2014
• Zhaohui Wu
• English
• Hardback 978-0-12-802330-3

  9 7 8 - 0 - 1 2 - 8 0 2 3 3 0 - 3
• eBook 978-0-12-802597-0

  9 7 8 - 0 - 1 2 - 8 0 2 5 9 7 - 0

Service computing is a cross-disciplinary field that covers science and technology, and represents a promising direction for distributed computing and software development methodologies. It aims to bridge the gap between business services and IT services by supporting the whole lifecycle of services innovation. Over the last ten years applications in industry and academic research have produced considerable progress and success Service Computing: Concept, Method and Technology presents the concept of service computing and a proposed reference architecture for service computing research before proceeding to introduce two underlying technologies: Web services and service-oriented architecture. It also presents the authors’ latest research findings on hot topics such as service discovery, recommendation, composition, verification, service trust, dynamic configuration and big data service. Some new models and methods are proposed including three service discovery methods based on semantics and skyline technologies, two service recommendation methods using graph mining and QoS prediction, two service composition methods with graph planning and one service verification method using π calculus and so on. Moreover, this book introduces JTang, an underlying platform supporting service computing, which is a product of the authors’ last ten years of research and development.

A Comparative Study of Parallel Programming Languages: The Salishan Problems

• 1st Edition
• December 6, 2014
• J.T. Feo
• English
• eBook 978-1-4832-9420-9

  9 7 8 - 1 - 4 8 3 2 - 9 4 2 0 - 9

As execution speeds reach the physical limits of single cpu computers, the only hope of achieving greater computing power is with parallel systems. Researchers have proposed countless new programming languages, but their differences, similarities, strengths, weaknesses and problem domains are subtle and often not well understood. Informed comparison of parallel languages is difficult.This volume compares eight parallel programming languages based on solutions to four problems. Each chapter includes a description of the language's philosophy, semantics and syntax, and a solution to each problem. By considering solutions rather than language features or theoretical properties, the gap is bridged between the language specialists and users. Both professionals and students in the fields of computer and computational science will find the discussions helpful and understandable.

High Performance Parallelism Pearls Volume One

• 1st Edition
• November 3, 2014
• James Reinders + 1 more
• English
• Paperback 978-0-12-802118-7

  9 7 8 - 0 - 1 2 - 8 0 2 1 1 8 - 7
• eBook 978-0-12-802199-6

  9 7 8 - 0 - 1 2 - 8 0 2 1 9 9 - 6

High Performance Parallelism Pearls shows how to leverage parallelism on processors and coprocessors with the same programming – illustrating the most effective ways to better tap the computational potential of systems with Intel Xeon Phi coprocessors and Intel Xeon processors or other multicore processors. The book includes examples of successful programming efforts, drawn from across industries and domains such as chemistry, engineering, and environmental science. Each chapter in this edited work includes detailed explanations of the programming techniques used, while showing high performance results on both Intel Xeon Phi coprocessors and multicore processors. Learn from dozens of new examples and case studies illustrating "success stories" demonstrating not just the features of these powerful systems, but also how to leverage parallelism across these heterogeneous systems.

Control of Distributed Parameter Systems

• 1st Edition
• May 18, 2014
• S. P. Banks + 1 more
• English
• eBook 978-1-4831-5112-0

  9 7 8 - 1 - 4 8 3 1 - 5 1 1 2 - 0

Control of Distributed Parameter Systems covers the proceedings of the Second IFAC Symposium, Coventry, held in Great Britain from June 28 to July 1, 1977. The book focuses on the methodologies, processes, and techniques in the control of distributed parameter systems, including boundary value control, digital transfer matrix, and differential equations. The selection first discusses the asymptotic methods in the optimal control of distributed systems; applications of distributed parameter control theory of a survey; and dual variational inequalities for external eigenvalue problems. The book also ponders on stochastic differential equations in Hilbert space and their application to delay systems and linear quadratic optimal control problem over an infinite time horizon for a class of distributed parameter systems. The manuscript investigates the semigroup approach to boundary value control and stability of nonlinear distributed parameter systems. Topics include boundary control action implemented through a dynamical system; classical boundary value controls; stability of nonlinear systems; and feedback control on the boundary. The text also focuses on the functional analysis interpretation of Lyapunov stability; method of multipliers for a class distributed parameter systems; and digital transfer matrix approach to distributed system simulation. The selection is a dependable source of data for readers interested in the control of distributed parameter systems.

Distributed Computing Through Combinatorial Topology

• 1st Edition
• November 30, 2013
• Maurice Herlihy + 2 more
• English
• Paperback 978-0-12-404578-1

  9 7 8 - 0 - 1 2 - 4 0 4 5 7 8 - 1
• eBook 978-0-12-404728-0

  9 7 8 - 0 - 1 2 - 4 0 4 7 2 8 - 0

Distributed Computing Through Combinatorial Topology describes techniques for analyzing distributed algorithms based on award winning combinatorial topology research. The authors present a solid theoretical foundation relevant to many real systems reliant on parallelism with unpredictable delays, such as multicore microprocessors, wireless networks, distributed systems, and Internet protocols. Today, a new student or researcher must assemble a collection of scattered conference publications, which are typically terse and commonly use different notations and terminologies. This book provides a self-contained explanation of the mathematics to readers with computer science backgrounds, as well as explaining computer science concepts to readers with backgrounds in applied mathematics. The first section presents mathematical notions and models, including message passing and shared-memory systems, failures, and timing models. The next section presents core concepts in two chapters each: first, proving a simple result that lends itself to examples and pictures that will build up readers' intuition; then generalizing the concept to prove a more sophisticated result. The overall result weaves together and develops the basic concepts of the field, presenting them in a gradual and intuitively appealing way. The book's final section discusses advanced topics typically found in a graduate-level course for those who wish to explore further.