Models For Parallel And Distributed Computation

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Models for Parallel and Distributed Computation

Author : R. Correa
Publisher : Springer Science & Business Media
ISBN 13 : 1475736096
Total Pages : 334 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Models for Parallel and Distributed Computation by : R. Correa

Download or read book Models for Parallel and Distributed Computation written by R. Correa and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel and distributed computation has been gaining a great lot of attention in the last decades. During this period, the advances attained in computing and communication technologies, and the reduction in the costs of those technolo gies, played a central role in the rapid growth of the interest in the use of parallel and distributed computation in a number of areas of engineering and sciences. Many actual applications have been successfully implemented in various plat forms varying from pure shared-memory to totally distributed models, passing through hybrid approaches such as distributed-shared memory architectures. Parallel and distributed computation differs from dassical sequential compu tation in some of the following major aspects: the number of processing units, independent local dock for each unit, the number of memory units, and the programming model. For representing this diversity, and depending on what level we are looking at the problem, researchers have proposed some models to abstract the main characteristics or parameters (physical components or logical mechanisms) of parallel computers. The problem of establishing a suitable model is to find a reasonable trade-off among simplicity, power of expression and universality. Then, be able to study and analyze more precisely the behavior of parallel applications.

Programming Models for Parallel Computing

Author : Pavan Balaji
Publisher : MIT Press
ISBN 13 : 0262528819
Total Pages : 488 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Programming Models for Parallel Computing by : Pavan Balaji

Download or read book Programming Models for Parallel Computing written by Pavan Balaji and published by MIT Press. This book was released on 2015-11-06 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style. With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputing systems. Programming parallel systems is complicated by the fact that multiple processing units are simultaneously computing and moving data. This book offers an overview of some of the most prominent parallel programming models used in high-performance computing and supercomputing systems today. The chapters describe the programming models in a unique tutorial style rather than using the formal approach taken in the research literature. The aim is to cover a wide range of parallel programming models, enabling the reader to understand what each has to offer. The book begins with a description of the Message Passing Interface (MPI), the most common parallel programming model for distributed memory computing. It goes on to cover one-sided communication models, ranging from low-level runtime libraries (GASNet, OpenSHMEM) to high-level programming models (UPC, GA, Chapel); task-oriented programming models (Charm++, ADLB, Scioto, Swift, CnC) that allow users to describe their computation and data units as tasks so that the runtime system can manage computation and data movement as necessary; and parallel programming models intended for on-node parallelism in the context of multicore architecture or attached accelerators (OpenMP, Cilk Plus, TBB, CUDA, OpenCL). The book will be a valuable resource for graduate students, researchers, and any scientist who works with data sets and large computations. Contributors Timothy Armstrong, Michael G. Burke, Ralph Butler, Bradford L. Chamberlain, Sunita Chandrasekaran, Barbara Chapman, Jeff Daily, James Dinan, Deepak Eachempati, Ian T. Foster, William D. Gropp, Paul Hargrove, Wen-mei Hwu, Nikhil Jain, Laxmikant Kale, David Kirk, Kath Knobe, Ariram Krishnamoorthy, Jeffery A. Kuehn, Alexey Kukanov, Charles E. Leiserson, Jonathan Lifflander, Ewing Lusk, Tim Mattson, Bruce Palmer, Steven C. Pieper, Stephen W. Poole, Arch D. Robison, Frank Schlimbach, Rajeev Thakur, Abhinav Vishnu, Justin M. Wozniak, Michael Wilde, Kathy Yelick, Yili Zheng

Parallel and Distributed Computation: Numerical Methods

Author : Dimitri Bertsekas
Publisher : Athena Scientific
ISBN 13 : 1886529159
Total Pages : 832 pages
Book Rating : 4.8/5 (865 download)

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Book Synopsis Parallel and Distributed Computation: Numerical Methods by : Dimitri Bertsekas

Download or read book Parallel and Distributed Computation: Numerical Methods written by Dimitri Bertsekas and published by Athena Scientific. This book was released on 2015-03-01 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Parallel and Distributed Computing

Author : Claudia Leopold
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 280 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Parallel and Distributed Computing by : Claudia Leopold

Download or read book Parallel and Distributed Computing written by Claudia Leopold and published by Wiley-Interscience. This book was released on 2001 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Models for Parallel and Distributed Computation

Author : Ricardo Corrêa
Publisher : Taylor & Francis US
ISBN 13 : 9781402006234
Total Pages : 342 pages
Book Rating : 4.0/5 (62 download)

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Book Synopsis Models for Parallel and Distributed Computation by : Ricardo Corrêa

Download or read book Models for Parallel and Distributed Computation written by Ricardo Corrêa and published by Taylor & Francis US. This book was released on 2002-06-30 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on advanced techniques used in the design of efficient parallel programs. It presents a wide variety of different models of parallel and distributed computation and applications of these models to the design of efficient algorithms to solve numerical and non-numerical problems. It contains general and specific texts about advanced algorithms for parallel computation and gathers together the state-of-the-art on parallelism with contributions from researchers actively working with parallel computation. Its chapters cover a broad variety of models, ranging from abstract shared-memory models such as PRAM to more realistic models of distributed memory, including CGM, LogP and BSP. To the best of our knowledge, no other book in the literature covers state-of-the-art about parallel models as approached in this special edition. Audience: Practitioners, researchers and graduate students in Computer Science, Mathematics, Engineering and Sciences.

Abstract Machine Models for Parallel and Distributed Computing

Author : M. Kara
Publisher : IOS Press
ISBN 13 : 9789051992670
Total Pages : 236 pages
Book Rating : 4.9/5 (926 download)

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Book Synopsis Abstract Machine Models for Parallel and Distributed Computing by : M. Kara

Download or read book Abstract Machine Models for Parallel and Distributed Computing written by M. Kara and published by IOS Press. This book was released on 1996 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract Machine Models have played a profound though frequently unacknowledged role in the development of modern computing systems. They provide a precise definition of vital concepts, allow system complexity to be managed by providing appropriate views of the activity under consideration, enable reasoning about the correctness and quantitative performance of proposed problem solutions, and encourage communication through a common medium of expression. Abstract Models in Parallel and Distributed computing have a particularly important role in the development of contemporary systems, encapsulating and controlling an inherently high degree of complexity. The Parallel and Distributed computing communities have traditionally considered themselves to be separate. However, there is a significant contemporary interest in both of these communities in a common hardware model; a set of workstation-class machines connected by a high-performance network. The traditional Parallel/Distributed distinction therefore appears under threat.

Patterns and Skeletons for Parallel and Distributed Computing

Author : Fethi A. Rabhi
Publisher : Springer Science & Business Media
ISBN 13 : 1447100972
Total Pages : 354 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Patterns and Skeletons for Parallel and Distributed Computing by : Fethi A. Rabhi

Download or read book Patterns and Skeletons for Parallel and Distributed Computing written by Fethi A. Rabhi and published by Springer Science & Business Media. This book was released on 2011-06-28 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Patterns and Skeletons for Parallel and Distributed Computing is a unique survey of research work in high-level parallel and distributed computing over the past ten years. Comprising contributions from the leading researchers in Europe and the US, it looks at interaction patterns and their role in parallel and distributed processing, and demonstrates for the first time the link between skeletons and design patterns. It focuses on computation and communication structures that are beyond simple message-passing or remote procedure calling, and also on pragmatic approaches that lead to practical design and programming methodologies with their associated compilers and tools. The book is divided into two parts which cover: skeletons-related material such as expressing and composing skeletons, formal transformation, cost modelling and languages, compilers and run-time systems for skeleton-based programming.- design patterns and other related concepts, applied to other areas such as real-time, embedded and distributed systems. It will be an essential reference for researchers undertaking new projects in this area, and will also provide useful background reading for advanced undergraduate and postgraduate courses on parallel or distributed system design.

Parallel and Distributed Processing

Author : Jose Rolim
Publisher : Springer Science & Business Media
ISBN 13 : 354067442X
Total Pages : 1332 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Parallel and Distributed Processing by : Jose Rolim

Download or read book Parallel and Distributed Processing written by Jose Rolim and published by Springer Science & Business Media. This book was released on 2000-04-19 with total page 1332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings from the workshops held in conjunction with the IEEE International Parallel and Distributed Processing Symposium, IPDPS 2000, on 1-5 May 2000 in Cancun, Mexico. The workshopsprovidea forum for bringing together researchers,practiti- ers, and designers from various backgrounds to discuss the state of the art in parallelism.Theyfocusondi erentaspectsofparallelism,fromruntimesystems to formal methods, from optics to irregular problems, from biology to networks of personal computers, from embedded systems to programming environments; the following workshops are represented in this volume: { Workshop on Personal Computer Based Networks of Workstations { Workshop on Advances in Parallel and Distributed Computational Models { Workshop on Par. and Dist. Comp. in Image, Video, and Multimedia { Workshop on High-Level Parallel Prog. Models and Supportive Env. { Workshop on High Performance Data Mining { Workshop on Solving Irregularly Structured Problems in Parallel { Workshop on Java for Parallel and Distributed Computing { WorkshoponBiologicallyInspiredSolutionsto ParallelProcessingProblems { Workshop on Parallel and Distributed Real-Time Systems { Workshop on Embedded HPC Systems and Applications { Recon gurable Architectures Workshop { Workshop on Formal Methods for Parallel Programming { Workshop on Optics and Computer Science { Workshop on Run-Time Systems for Parallel Programming { Workshop on Fault-Tolerant Parallel and Distributed Systems All papers published in the workshops proceedings were selected by the p- gram committee on the basis of referee reports. Each paper was reviewed by independent referees who judged the papers for originality, quality, and cons- tency with the themes of the workshops.

Parallel and Distributed Simulation Systems

Author : Richard M. Fujimoto
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 324 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Parallel and Distributed Simulation Systems by : Richard M. Fujimoto

Download or read book Parallel and Distributed Simulation Systems written by Richard M. Fujimoto and published by Wiley-Interscience. This book was released on 2000-01-03 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the preface, page xv: [...] My goal in writing Parallel and Distributed Simulation Systems, is to give an in-depth treatment of technical issues concerning the execution of discrete event simulation programs on computing platforms composed of many processores interconnected through a network"

Object-Based Parallel and Distributed Computation

Author : Jean-Pierre Briot
Publisher : Springer Science & Business Media
ISBN 13 : 9783540614876
Total Pages : 370 pages
Book Rating : 4.6/5 (148 download)

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Book Synopsis Object-Based Parallel and Distributed Computation by : Jean-Pierre Briot

Download or read book Object-Based Parallel and Distributed Computation written by Jean-Pierre Briot and published by Springer Science & Business Media. This book was released on 1996-07-24 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a refereed collection of revised papers selected from the presentations at the France-Japan Workshop on Object-Based Parallel and Distributed Computation, OBPDC'95, held in Tokyo in June 1995. The 18 full papers included in the book constitute a representative, well-balanced set of timely research contributions to the growing field of object-based concurrent computing. The volume is organized in sections on massively parallel programming languages, distributed programming languages, formalisms, distributed operating systems, dependable distributed computing, and software management.

Parallel and Distributed Computing, Applications and Technologies

Author : Yong Zhang
Publisher : Springer Nature
ISBN 13 : 3030692442
Total Pages : 402 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Parallel and Distributed Computing, Applications and Technologies by : Yong Zhang

Download or read book Parallel and Distributed Computing, Applications and Technologies written by Yong Zhang and published by Springer Nature. This book was released on 2021-02-20 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 21st International Conference on Parallel and Distributed Computing, Applications, and Technologies, PDCAT 2020, which took place in Shenzhen, China, during December 28-30, 2020. The 34 full papers included in this volume were carefully reviewed and selected from 109 submissions. They deal with parallel and distributed computing of networking and architectures, software systems and technologies, algorithms and applications, and security and privacy.

Handbook of Parallel Computing

Author : Sanguthevar Rajasekaran
Publisher : CRC Press
ISBN 13 : 1420011294
Total Pages : 1224 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Handbook of Parallel Computing by : Sanguthevar Rajasekaran

Download or read book Handbook of Parallel Computing written by Sanguthevar Rajasekaran and published by CRC Press. This book was released on 2007-12-20 with total page 1224 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

PARALLEL AND DISTRIBUTED COMPUTING : ARCHITECTURES AND ALGORITHMS

Author : BASU, S. K.
Publisher : PHI Learning Pvt. Ltd.
ISBN 13 : 8120352122
Total Pages : 408 pages
Book Rating : 4.1/5 (23 download)

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Book Synopsis PARALLEL AND DISTRIBUTED COMPUTING : ARCHITECTURES AND ALGORITHMS by : BASU, S. K.

Download or read book PARALLEL AND DISTRIBUTED COMPUTING : ARCHITECTURES AND ALGORITHMS written by BASU, S. K. and published by PHI Learning Pvt. Ltd.. This book was released on 2016-01-02 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise text is designed to present the recent advances in parallel and distributed architectures and algorithms within an integrated framework. Beginning with an introduction to the basic concepts, the book goes on discussing the basic methods of parallelism exploitation in computation through vector processing, super scalar and VLIW processing, array processing, associative processing, systolic algorithms, and dataflow computation. After introducing interconnection networks, it discusses parallel algorithms for sorting, Fourier transform, matrix algebra, and graph theory. The second part focuses on basics and selected theoretical issues of distributed processing. Architectures and algorithms have been dealt in an integrated way throughout the book. The last chapter focuses on the different paradigms and issues of high performance computing making the reading more interesting. This book is meant for the senior level undergraduate and postgraduate students of computer science and engineering, and information technology. The book is also useful for the postgraduate students of computer science and computer application.

Python Parallel Programming Cookbook

Author : Giancarlo Zaccone
Publisher : Packt Publishing Ltd
ISBN 13 : 1785286722
Total Pages : 286 pages
Book Rating : 4.7/5 (852 download)

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Book Synopsis Python Parallel Programming Cookbook by : Giancarlo Zaccone

Download or read book Python Parallel Programming Cookbook written by Giancarlo Zaccone and published by Packt Publishing Ltd. This book was released on 2015-08-26 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master efficient parallel programming to build powerful applications using Python About This Book Design and implement efficient parallel software Master new programming techniques to address and solve complex programming problems Explore the world of parallel programming with this book, which is a go-to resource for different kinds of parallel computing tasks in Python, using examples and topics covered in great depth Who This Book Is For Python Parallel Programming Cookbook is intended for software developers who are well versed with Python and want to use parallel programming techniques to write powerful and efficient code. This book will help you master the basics and the advanced of parallel computing. What You Will Learn Synchronize multiple threads and processes to manage parallel tasks Implement message passing communication between processes to build parallel applications Program your own GPU cards to address complex problems Manage computing entities to execute distributed computational tasks Write efficient programs by adopting the event-driven programming model Explore the cloud technology with DJango and Google App Engine Apply parallel programming techniques that can lead to performance improvements In Detail Parallel programming techniques are required for a developer to get the best use of all the computational resources available today and to build efficient software systems. From multi-core to GPU systems up to the distributed architectures, the high computation of programs throughout requires the use of programming tools and software libraries. Because of this, it is becoming increasingly important to know what the parallel programming techniques are. Python is commonly used as even non-experts can easily deal with its concepts. This book will teach you parallel programming techniques using examples in Python and will help you explore the many ways in which you can write code that allows more than one process to happen at once. Starting with introducing you to the world of parallel computing, it moves on to cover the fundamentals in Python. This is followed by exploring the thread-based parallelism model using the Python threading module by synchronizing threads and using locks, mutex, semaphores queues, GIL, and the thread pool. Next you will be taught about process-based parallelism where you will synchronize processes using message passing along with learning about the performance of MPI Python Modules. You will then go on to learn the asynchronous parallel programming model using the Python asyncio module along with handling exceptions. Moving on, you will discover distributed computing with Python, and learn how to install a broker, use Celery Python Module, and create a worker. You will also understand the StarCluster framework, Pycsp, Scoop, and Disco modules in Python. Further on, you will learn GPU programming with Python using the PyCUDA module along with evaluating performance limitations. Next you will get acquainted with the cloud computing concepts in Python, using Google App Engine (GAE), and building your first application with GAE. Lastly, you will learn about grid computing concepts in Python and using PyGlobus toolkit, GFTP and GASS COPY to transfer files, and service monitoring in PyGlobus. Style and approach A step-by-step guide to parallel programming using Python, with recipes accompanied by one or more programming examples. It is a practically oriented book and has all the necessary underlying parallel computing concepts.

Parallel Computing for Bioinformatics and Computational Biology

Author : Albert Y. Zomaya
Publisher : John Wiley & Sons
ISBN 13 : 0471718483
Total Pages : 817 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Parallel Computing for Bioinformatics and Computational Biology by : Albert Y. Zomaya

Download or read book Parallel Computing for Bioinformatics and Computational Biology written by Albert Y. Zomaya and published by John Wiley & Sons. This book was released on 2006-04-21 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover how to streamline complex bioinformatics applications with parallel computing This publication enables readers to handle more complex bioinformatics applications and larger and richer data sets. As the editor clearly shows, using powerful parallel computing tools can lead to significant breakthroughs in deciphering genomes, understanding genetic disease, designing customized drug therapies, and understanding evolution. A broad range of bioinformatics applications is covered with demonstrations on how each one can be parallelized to improve performance and gain faster rates of computation. Current parallel computing techniques and technologies are examined, including distributed computing and grid computing. Readers are provided with a mixture of algorithms, experiments, and simulations that provide not only qualitative but also quantitative insights into the dynamic field of bioinformatics. Parallel Computing for Bioinformatics and Computational Biology is a contributed work that serves as a repository of case studies, collectively demonstrating how parallel computing streamlines difficult problems in bioinformatics and produces better results. Each of the chapters is authored by an established expert in the field and carefully edited to ensure a consistent approach and high standard throughout the publication. The work is organized into five parts: * Algorithms and models * Sequence analysis and microarrays * Phylogenetics * Protein folding * Platforms and enabling technologies Researchers, educators, and students in the field of bioinformatics will discover how high-performance computing can enable them to handle more complex data sets, gain deeper insights, and make new discoveries.

Parallel Computing

Author : Roman Trobec
Publisher : Springer Science & Business Media
ISBN 13 : 1848824092
Total Pages : 531 pages
Book Rating : 4.8/5 (488 download)

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Book Synopsis Parallel Computing by : Roman Trobec

Download or read book Parallel Computing written by Roman Trobec and published by Springer Science & Business Media. This book was released on 2009-06-18 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Topics in Parallel and Distributed Computing

Author : Sushil K Prasad
Publisher : Morgan Kaufmann
ISBN 13 : 0128039388
Total Pages : 359 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Topics in Parallel and Distributed Computing by : Sushil K Prasad

Download or read book Topics in Parallel and Distributed Computing written by Sushil K Prasad and published by Morgan Kaufmann. This book was released on 2015-09-16 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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