Download Topics in Parallel and Distributed Computing Ebook PDF

Topics in Parallel and Distributed Computing

Topics in Parallel and Distributed Computing
Introducing Concurrency in Undergraduate Courses

by Sushil K Prasad,Anshul Gupta,Arnold L Rosenberg,Alan Sussman,Charles C Weems

  • Publisher : Morgan Kaufmann
  • Release : 2015-09-16
  • Pages : 360
  • ISBN : 0128039388
  • Language : En, Es, Fr & De
GET BOOK

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. Contributed and developed by the leading minds in parallel computing research and instruction Provides resources and guidance for those learning PDC as well as those teaching students new to the discipline Succinctly addresses a range of parallel and distributed computing topics Pedagogically designed to ensure understanding by experienced engineers and newcomers 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

Topics in Parallel and Distributed Computing

Topics in Parallel and Distributed Computing
Enhancing the Undergraduate Curriculum: Performance, Concurrency, and Programming on Modern Platforms

by Sushil K. Prasad,Anshul Gupta,Arnold Rosenberg,Alan Sussman,Charles Weems

  • Publisher : Springer
  • Release : 2018-09-29
  • Pages : 337
  • ISBN : 3319931091
  • Language : En, Es, Fr & De
GET BOOK

This book introduces beginning undergraduate students of computing and computational disciplines to modern parallel and distributed programming languages and environments, including map-reduce, general-purpose graphics processing units (GPUs), and graphical user interfaces (GUI) for mobile applications. The book also guides instructors via selected essays on what and how to introduce parallel and distributed computing topics into the undergraduate curricula, including quality criteria for parallel algorithms and programs, scalability, parallel performance, fault tolerance, and energy efficiency analysis. The chapters designed for students serve as supplemental textual material for early computing core courses, which students can use for learning and exercises. The illustrations, examples, and sequences of smaller steps to build larger concepts are also tools that could be inserted into existing instructor material. The chapters intended for instructors are written at a teaching level and serve as a rigorous reference to include learning goals, advice on presentation and use of the material, within early and advanced undergraduate courses. Since Parallel and Distributed Computing (PDC) now permeates most computing activities, imparting a broad-based skill set in PDC technology at various levels in the undergraduate educational fabric woven by Computer Science (CS) and Computer Engineering (CE) programs as well as related computational disciplines has become essential. This book and others in this series aim to address the need for lack of suitable textbook support for integrating PDC-related topics into undergraduate courses, especially in the early curriculum. The chapters are aligned with the curricular guidelines promulgated by the NSF/IEEE-TCPP Curriculum Initiative on Parallel and Distributed Computing for CS and CE students and with the CS2013 ACM/IEEE Computer Science Curricula.

Parallel and Distributed Computing

Parallel and Distributed Computing
A Book

by Alberto Ros

  • Publisher : BoD – Books on Demand
  • Release : 2010-01-01
  • Pages : 298
  • ISBN : 9533070579
  • Language : En, Es, Fr & De
GET BOOK

The 14 chapters presented in this book cover a wide variety of representative works ranging from hardware design to application development. Particularly, the topics that are addressed are programmable and reconfigurable devices and systems, dependability of GPUs (General Purpose Units), network topologies, cache coherence protocols, resource allocation, scheduling algorithms, peertopeer networks, largescale network simulation, and parallel routines and algorithms. In this way, the articles included in this book constitute an excellent reference for engineers and researchers who have particular interests in each of these topics in parallel and distributed computing.

Handbook on Parallel and Distributed Processing

Handbook on Parallel and Distributed Processing
A Book

by Jacek Blazewicz,Klaus Ecker,Brigitte Plateau,Denis Trystram

  • Publisher : Springer Science & Business Media
  • Release : 2013-03-09
  • Pages : 635
  • ISBN : 3662043033
  • Language : En, Es, Fr & De
GET BOOK

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.

Introduction to Parallel Computing

Introduction to Parallel Computing
From Algorithms to Programming on State-of-the-Art Platforms

by Roman Trobec,Boštjan Slivnik,Patricio Bulić,Borut Robič

  • Publisher : Springer
  • Release : 2018-09-27
  • Pages : 256
  • ISBN : 3319988336
  • Language : En, Es, Fr & De
GET BOOK

Advancements in microprocessor architecture, interconnection technology, and software development have fueled rapid growth in parallel and distributed computing. However, this development is only of practical benefit if it is accompanied by progress in the design, analysis and programming of parallel algorithms. This concise textbook provides, in one place, three mainstream parallelization approaches, Open MPP, MPI and OpenCL, for multicore computers, interconnected computers and graphical processing units. An overview of practical parallel computing and principles will enable the reader to design efficient parallel programs for solving various computational problems on state-of-the-art personal computers and computing clusters. Topics covered range from parallel algorithms, programming tools, OpenMP, MPI and OpenCL, followed by experimental measurements of parallel programs’ run-times, and by engineering analysis of obtained results for improved parallel execution performances. Many examples and exercises support the exposition.

Parallel and Distributed Computing: Applications and Technologies

Parallel and Distributed Computing: Applications and Technologies
5th International Conference, PDCAT 2004, Singapore, December 8-10, 2004, Proceedings

by Kim-Meow Liew,Hong Shen,Simon See,Wentong Cai,Pingzhi Fan,Susumu Horiguchi

  • Publisher : Springer Science & Business Media
  • Release : 2004-12-02
  • Pages : 891
  • ISBN : 3540240136
  • Language : En, Es, Fr & De
GET BOOK

This book constitutes the refereed proceedings of the 5th International Conference on Parallel and Distributed Computing, Applications and Technologies; PDCAT 2004, held in Singapore in December 2004. The 173 papers presented were carefully reviewed and selected from 242 submissions. The papers focus on parallel and distributed computing from the perspectives of algorithms, networking and architecture, software systems and technologies, and applications. Besides classical topics from high performance computing, major recent developments are addressed, such as molecular computing, date mining, knowledge discovery, optical networks, secure computing and communications, wireless networks, mobile computing, component-based systems, Internet computing, and Web Technologies.

Parallel Computing

Parallel Computing
Numerics, Applications, and Trends

by Roman Trobec,Marián Vajteršic,Peter Zinterhof

  • Publisher : Springer Science & Business Media
  • Release : 2009-06-18
  • Pages : 520
  • ISBN : 1848824092
  • Language : En, Es, Fr & De
GET BOOK

The use of parallel programming and architectures is essential for simulating and solving problems in modern computational practice. There has been rapid progress in microprocessor architecture, interconnection technology and software devel- ment, which are in?uencing directly the rapid growth of parallel and distributed computing. However, in order to make these bene?ts usable in practice, this dev- opment must be accompanied by progress in the design, analysis and application aspects of parallel algorithms. In particular, new approaches from parallel num- ics are important for solving complex computational problems on parallel and/or distributed systems. The contributions to this book are focused on topics most concerned in the trends of today’s parallel computing. These range from parallel algorithmics, progr- ming, tools, network computing to future parallel computing. Particular attention is paid to parallel numerics: linear algebra, differential equations, numerical integ- tion, number theory and their applications in computer simulations, which together form the kernel of the monograph. We expect that the book will be of interest to scientists working on parallel computing, doctoral students, teachers, engineers and mathematicians dealing with numerical applications and computer simulations of natural phenomena.

Solutions to Parallel and Distributed Computing Problems

Solutions to Parallel and Distributed Computing Problems
Lessons from Biological Sciences

by Albert Y. Zomaya,Fikret Ercal,Stephan Olariu

  • Publisher : Wiley-Interscience
  • Release : 2000-11-14
  • Pages : 272
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
GET BOOK

Solving problems in parallel and distributed computing through the use of bioinspired techniques. Recent years have seen a surge of interest in computational methods patterned after natural phenomena, with biologically inspired techniques such as fuzzy logic, neural networks, simulated annealing, genetic algorithms, or evolutionary computer models increasingly being harnessed for problem solving in parallel and distributed computing. Solutions to Parallel and Distributed Computing Problems presents a comprehensive review of the state of the art in the field, providing researchers and practitioners with critical information on the use of bio-inspired techniques for improving software and hardware design in high-performance computing. Through contributions from top leaders in the field, this important book brings together current research results, exploring some of the most intriguing and cutting-edge topics from the world of biocomputing, including: Parallel and distributed computing of cellular automata and evolutionary algorithms How the speedup of bio-inspired algorithms will help their applicability in a wide range of problems Solving problems in parallel simulation through such techniques as simulated annealing algorithms and genetic algorithms Techniques for solving scheduling and load-balancing problems in parallel and distributed computers Applying neural networks for problem solving in wireless communication systems

Distributed Computing

Distributed Computing
Fundamentals, Simulations, and Advanced Topics

by Hagit Attiya,Jennifer Welch

  • Publisher : John Wiley & Sons
  • Release : 2004-03-25
  • Pages : 432
  • ISBN : 9780471453246
  • Language : En, Es, Fr & De
GET BOOK

* Comprehensive introduction to the fundamental results in the mathematical foundations of distributed computing * Accompanied by supporting material, such as lecture notes and solutions for selected exercises * Each chapter ends with bibliographical notes and a set of exercises * Covers the fundamental models, issues and techniques, and features some of the more advanced topics

Algorithms and Architectures for Parallel Processing

Algorithms and Architectures for Parallel Processing
15th International Conference, ICA3PP 2015, Zhangjiajie, China, November 18-20, 2015, Proceedings, Part IV

by Guojun Wang,Albert Zomaya,Gregorio Martinez,Kenli Li

  • Publisher : Springer
  • Release : 2015-11-16
  • Pages : 845
  • ISBN : 3319271407
  • Language : En, Es, Fr & De
GET BOOK

This four volume set LNCS 9528, 9529, 9530 and 9531 constitutes the refereed proceedings of the 15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015, held in Zhangjiajie, China, in November 2015. The 219 revised full papers presented together with 77 workshop papers in these four volumes were carefully reviewed and selected from 807 submissions (602 full papers and 205 workshop papers). The first volume comprises the following topics: parallel and distributed architectures; distributed and network-based computing and internet of things and cyber-physical-social computing. The second volume comprises topics such as big data and its applications and parallel and distributed algorithms. The topics of the third volume are: applications of parallel and distributed computing and service dependability and security in distributed and parallel systems. The covered topics of the fourth volume are: software systems and programming models and performance modeling and evaluation.

Patterns and Skeletons for Parallel and Distributed Computing

Patterns and Skeletons for Parallel and Distributed Computing
A Book

by Fethi Rabhi

  • Publisher : Springer Science & Business Media
  • Release : 2003
  • Pages : 333
  • ISBN : 9781852335069
  • Language : En, Es, Fr & De
GET BOOK

A significant proportion of computer software can now be labelled as parallel and distributed applications (i.e., a system of several independent software components cooperating in a common purpose, such as WWW applications). This book has 2 key objectives - to summarise key research work in high-level parallel and distributed computing over the past ten years and to highlight cutting edge techniques. It is also the first book to demonstrate the link between 2 key topics - skeletons and design patterns.

Parallel Computing

Parallel Computing
Numerics, Applications, and Trends

by Roman Trobec,Marián Vajter#ic,Peter Zinterhof

  • Publisher : Springer
  • Release : 2009-08-29
  • Pages : 520
  • ISBN : 9781848824171
  • Language : En, Es, Fr & De
GET BOOK

The use of parallel programming and architectures is essential for simulating and solving problems in modern computational practice. There has been rapid progress in microprocessor architecture, interconnection technology and software devel- ment, which are in?uencing directly the rapid growth of parallel and distributed computing. However, in order to make these bene?ts usable in practice, this dev- opment must be accompanied by progress in the design, analysis and application aspects of parallel algorithms. In particular, new approaches from parallel num- ics are important for solving complex computational problems on parallel and/or distributed systems. The contributions to this book are focused on topics most concerned in the trends of today’s parallel computing. These range from parallel algorithmics, progr- ming, tools, network computing to future parallel computing. Particular attention is paid to parallel numerics: linear algebra, differential equations, numerical integ- tion, number theory and their applications in computer simulations, which together form the kernel of the monograph. We expect that the book will be of interest to scientists working on parallel computing, doctoral students, teachers, engineers and mathematicians dealing with numerical applications and computer simulations of natural phenomena.

Parallel and Distributed Computing

Parallel and Distributed Computing
A Survey of Models, Paradigms and Approaches

by Claudia Leopold

  • Publisher : Wiley-Interscience
  • Release : 2001
  • Pages : 260
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
GET BOOK

An all-inclusive survey of the fundamentals of parallel and distributed computing. The use of parallel and distributed computing has increased dramatically over the past few years, giving rise to a variety of projects, implementations, and buzzwords surrounding the subject. Although the areas of parallel and distributed computing have traditionally evolved separately, these models have overlapping goals and characteristics. Parallel and Distributed Computing surveys the models and paradigms in this converging area of parallel and distributed computing and considers the diverse approaches within a common text. Covering a comprehensive set of models and paradigms, the material also skims lightly over more specific details and serves as both an introduction and a survey. Novice readers will be able to quickly grasp a balanced overview with the review of central concepts, problems, and ideas, while the more experienced researcher will appreciate the specific comparisons between models, the coherency of the parallel and distributed computing field, and the discussion of less well-known proposals. Other topics covered include: * Data parallelism * Shared-memory programming * Message passing * Client/server computing * Code mobility * Coordination, object-oriented, high-level, and abstract models * And much more Parallel and Distributed Computing is a perfect tool for students and can be used as a foundation for parallel and distributed computing courses. Application developers will find this book helpful to get an overview before choosing a particular programming style to study in depth, and researchers and programmers will appreciate the wealth of information concerning the various areas of parallel and distributed computing.

Parallel Processing for Scientific Computing

Parallel Processing for Scientific Computing
A Book

by Michael A. Heroux,Padma Raghavan,Horst D. Simon

  • Publisher : SIAM
  • Release : 2006-01-01
  • Pages : 397
  • ISBN : 0898716195
  • Language : En, Es, Fr & De
GET BOOK

Scientific computing has often been called the third approach to scientific discovery, emerging as a peer to experimentation and theory. Historically, the synergy between experimentation and theory has been well understood: experiments give insight into possible theories, theories inspire experiments, experiments reinforce or invalidate theories, and so on. As scientific computing has evolved to produce results that meet or exceed the quality of experimental and theoretical results, it has become indispensable.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. This edited volume serves as an up-to-date reference for researchers and application developers on the state of the art in scientific computing. It also serves as an excellent overview and introduction, especially for graduate and senior-level undergraduate students interested in computational modeling and simulation and related computer science and applied mathematics aspects.Contents List of Figures; List of Tables; Preface; Chapter 1: Frontiers of Scientific Computing: An Overview; Part I: Performance Modeling, Analysis and Optimization. Chapter 2: Performance Analysis: From Art to Science; Chapter 3: Approaches to Architecture-Aware Parallel Scientific Computation; Chapter 4: Achieving High Performance on the BlueGene/L Supercomputer; Chapter 5: Performance Evaluation and Modeling of Ultra-Scale Systems; Part II: Parallel Algorithms and Enabling Technologies. Chapter 6: Partitioning and Load Balancing; Chapter 7: Combinatorial Parallel and Scientific Computing; Chapter 8: Parallel Adaptive Mesh Refinement; Chapter 9: Parallel Sparse Solvers, Preconditioners, and Their Applications; Chapter 10: A Survey of Parallelization Techniques for Multigrid Solvers; Chapter 11: Fault Tolerance in Large-Scale Scientific Computing; Part III: Tools and Frameworks for Parallel Applications. Chapter 12: Parallel Tools and Environments: A Survey; Chapter 13: Parallel Linear Algebra Software; Chapter 14: High-Performance Component Software Systems; Chapter 15: Integrating Component-Based Scientific Computing Software; Part IV: Applications of Parallel Computing. Chapter 16: Parallel Algorithms for PDE-Constrained Optimization; Chapter 17: Massively Parallel Mixed-Integer Programming; Chapter 18: Parallel Methods and Software for Multicomponent Simulations; Chapter 19: Parallel Computational Biology; Chapter 20: Opportunities and Challenges for Parallel Computing in Science and Engineering; Index.

Parallel and Distributed Computing

Parallel and Distributed Computing
A Book

by Alberto Ros

  • Publisher : IntechOpen
  • Release : 2010-01-01
  • Pages : 298
  • ISBN : 9789533070575
  • Language : En, Es, Fr & De
GET BOOK

The 14 chapters presented in this book cover a wide variety of representative works ranging from hardware design to application development. Particularly, the topics that are addressed are programmable and reconfigurable devices and systems, dependability of GPUs (General Purpose Units), network topologies, cache coherence protocols, resource allocation, scheduling algorithms, peertopeer networks, largescale network simulation, and parallel routines and algorithms. In this way, the articles included in this book constitute an excellent reference for engineers and researchers who have particular interests in each of these topics in parallel and distributed computing.

Distributed and Parallel Systems

Distributed and Parallel Systems
From Instruction Parallelism to Cluster Computing

by Péter Kacsuk,Gabriele Kotsis

  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • Pages : 233
  • ISBN : 1461544890
  • Language : En, Es, Fr & De
GET BOOK

Distributed and Parallel Systems: From Instruction Parallelism to Cluster Computing is the proceedings of the third Austrian-Hungarian Workshop on Distributed and Parallel Systems organized jointly by the Austrian Computer Society and the MTA SZTAKI Computer and Automation Research Institute. This book contains 18 full papers and 12 short papers from 14 countries around the world, including Japan, Korea and Brazil. The paper sessions cover a broad range of research topics in the area of parallel and distributed systems, including software development environments, performance evaluation, architectures, languages, algorithms, web and cluster computing. This volume will be useful to researchers and scholars interested in all areas related to parallel and distributed computing systems.

Parallel and Distributed Computation: Numerical Methods

Parallel and Distributed Computation: Numerical Methods
A Book

by Dimitri Bertsekas,John Tsitsiklis

  • Publisher : Athena Scientific
  • Release : 2015-03-01
  • Pages : 735
  • ISBN : 1886529159
  • Language : En, Es, Fr & De
GET BOOK

This highly acclaimed work, first published by Prentice Hall in 1989, is a comprehensive and theoretically sound treatment of parallel and distributed numerical methods. It focuses on algorithms that are naturally suited for massive parallelization, and it explores the fundamental convergence, rate of convergence, communication, and synchronization issues associated with such algorithms. This is an extensive book, which aside from its focus on parallel and distributed algorithms, contains a wealth of material on a broad variety of computation and optimization topics. It is an excellent supplement to several of our other books, including Convex Optimization Algorithms (Athena Scientific, 2015), Nonlinear Programming (Athena Scientific, 1999), Dynamic Programming and Optimal Control (Athena Scientific, 2012), Neuro-Dynamic Programming (Athena Scientific, 1996), and Network Optimization (Athena Scientific, 1998). The on-line edition of the book contains a 95-page solutions manual.

Advances in Computers

Advances in Computers
Parallel, Distributed, and Pervasive Computing

by Marvin Zelkowitz,Ali R. Hurson

  • Publisher : Elsevier
  • Release : 2005-05-19
  • Pages : 312
  • ISBN : 0080459145
  • Language : En, Es, Fr & De
GET BOOK

The term computation gap has been defined as the difference between the computational power demanded by the application domain and the computational power of the underlying computer platform. Traditionally, closing the computation gap has been one of the major and fundamental tasks of computer architects. However, as technology advances and computers become more pervasive in the society, the domain of computer architecture has been extended. The scope of research in the computer architecture is no longer restricted to the computer hardware and organization issues. A wide spectrum of topics ranging from algorithm design to power management is becoming part of the computer architecture. Based on the aforementioned trend and to reflect recent research efforts, attempts were made to select a collection of articles that covers different aspects of contemporary computer architecture design. This volume of the Advances in Computers contains six chapters on different aspects of computer architecture. Key features: Wide range of research topics Coverage of new topics such as power management, Network on Chip, Load balancing in distributed systems, and pervasive computing Simple writing style Wide range of research topics Coverage of new topics such as power management, Network on Chip, Load balancing in distributed systems, and pervasive computing Simple writing style

Large Scale Network-Centric Distributed Systems

Large Scale Network-Centric Distributed Systems
A Book

by Hamid Sarbazi-Azad,Albert Y. Zomaya

  • Publisher : John Wiley & Sons
  • Release : 2013-10-10
  • Pages : 760
  • ISBN : 1118714822
  • Language : En, Es, Fr & De
GET BOOK

A highly accessible reference offering a broad range of topics and insights on large scale network-centric distributed systems Evolving from the fields of high-performance computing and networking, large scale network-centric distributed systems continues to grow as one of the most important topics in computing and communication and many interdisciplinary areas. Dealing with both wired and wireless networks, this book focuses on the design and performance issues of such systems. Large Scale Network-Centric Distributed Systems provides in-depth coverage ranging from ground-level hardware issues (such as buffer organization, router delay, and flow control) to the high-level issues immediately concerning application or system users (including parallel programming, middleware, and OS support for such computing systems). Arranged in five parts, it explains and analyzes complex topics to an unprecedented degree: Part 1: Multicore and Many-Core (Mc) Systems-on-Chip Part 2: Pervasive/Ubiquitous Computing and Peer-to-Peer Systems Part 3: Wireless/Mobile Networks Part 4: Grid and Cloud Computing Part 5: Other Topics Related to Network-Centric Computing and Its Applications Large Scale Network-Centric Distributed Systems is an incredibly useful resource for practitioners, postgraduate students, postdocs, and researchers.

Encyclopedia of Parallel Computing

Encyclopedia of Parallel Computing
A Book

by David Padua

  • Publisher : Springer Science & Business Media
  • Release : 2011-09-08
  • Pages : 2175
  • ISBN : 0387097651
  • Language : En, Es, Fr & De
GET BOOK

Containing over 300 entries in an A-Z format, the Encyclopedia of Parallel Computing provides easy, intuitive access to relevant information for professionals and researchers seeking access to any aspect within the broad field of parallel computing. Topics for this comprehensive reference were selected, written, and peer-reviewed by an international pool of distinguished researchers in the field. The Encyclopedia is broad in scope, covering machine organization, programming languages, algorithms, and applications. Within each area, concepts, designs, and specific implementations are presented. The highly-structured essays in this work comprise synonyms, a definition and discussion of the topic, bibliographies, and links to related literature. Extensive cross-references to other entries within the Encyclopedia support efficient, user-friendly searchers for immediate access to useful information. Key concepts presented in the Encyclopedia of Parallel Computing include; laws and metrics; specific numerical and non-numerical algorithms; asynchronous algorithms; libraries of subroutines; benchmark suites; applications; sequential consistency and cache coherency; machine classes such as clusters, shared-memory multiprocessors, special-purpose machines and dataflow machines; specific machines such as Cray supercomputers, IBM’s cell processor and Intel’s multicore machines; race detection and auto parallelization; parallel programming languages, synchronization primitives, collective operations, message passing libraries, checkpointing, and operating systems. Topics covered: Speedup, Efficiency, Isoefficiency, Redundancy, Amdahls law, Computer Architecture Concepts, Parallel Machine Designs, Benmarks, Parallel Programming concepts & design, Algorithms, Parallel applications. This authoritative reference will be published in two formats: print and online. The online edition features hyperlinks to cross-references and to additional significant research. Related Subjects: supercomputing, high-performance computing, distributed computing