Programming Models For Parallel Computing

Author : Pavan Balaji
Publisher : MIT Press
Page : 488 pages
File Size : 51,6 Mb
Release : 2015-11-06
Category : Computers
ISBN : 9780262528818

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Programming Models for Parallel Computing by Pavan Balaji Pdf

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

Author : Thomas Rauber,Gudula Rünger
Publisher : Springer Science & Business Media
Page : 523 pages
File Size : 55,8 Mb
Release : 2013-06-13
Category : Computers
ISBN : 9783642378010

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Parallel Programming by Thomas Rauber,Gudula Rünger Pdf

Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing. Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. For this second edition, all chapters have been carefully revised. The chapter on architecture of parallel systems has been updated considerably, with a greater emphasis on the architecture of multicore systems and adding new material on the latest developments in computer architecture. Lastly, a completely new chapter on general-purpose GPUs and the corresponding programming techniques has been added. The main goal of the book is to present parallel programming techniques that can be used in many situations for a broad range of application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The material presented has been used for courses in parallel programming at different universities for many years.

Author : Frank Mueller
Publisher : Springer Science & Business Media
Page : 146 pages
File Size : 43,8 Mb
Release : 2001-04-04
Category : Computers
ISBN : 9783540419440

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High-Level Parallel Programming Models and Supportive Environments by Frank Mueller Pdf

This book constitutes the refereed proceedings of the 6th International Workshop on High-Level Parallel Programming Models and Supportive Environments, HIPS 2001, held in San Francisco, CA, USA in April 2001. The 10 revised full papers presented were carefully reviewed and selected out of 20 submissions. The focus of the book is on high-level programming of networks of workstations, computing clusters, and massively parallel machines. Among the issues addressed are language design, compilers, system architectures, programming tools, and advanced applications.

Author : Shirley A. Williams
Publisher : Unknown
Page : 192 pages
File Size : 46,6 Mb
Release : 1990-06-28
Category : Computers
ISBN : UOM:39015017965156

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Programming Models for Parallel Systems by Shirley A. Williams Pdf

Presents parallel processing systems and the programming models that are necessary to accomplish this task. Covers the categories of parallel programming models, including sequential, array, pipeline and shared memory processing, message passing, and functional, logic, and object-oriented programming; examines transformation techniques; and explores the future potential of parallel processing.

Author : Pawel Czarnul
Publisher : CRC Press
Page : 304 pages
File Size : 50,7 Mb
Release : 2018-03-05
Category : Business & Economics
ISBN : 9781351385800

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Parallel Programming for Modern High Performance Computing Systems by Pawel Czarnul Pdf

In view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key challenge to be able to exploit the performance of such systems. This book covers the scope of parallel programming for modern high performance computing systems. It first discusses selected and popular state-of-the-art computing devices and systems available today, These include multicore CPUs, manycore (co)processors, such as Intel Xeon Phi, accelerators, such as GPUs, and clusters, as well as programming models supported on these platforms. It next introduces parallelization through important programming paradigms, such as master-slave, geometric Single Program Multiple Data (SPMD) and divide-and-conquer. The practical and useful elements of the most popular and important APIs for programming parallel HPC systems are discussed, including MPI, OpenMP, Pthreads, CUDA, OpenCL, and OpenACC. It also demonstrates, through selected code listings, how selected APIs can be used to implement important programming paradigms. Furthermore, it shows how the codes can be compiled and executed in a Linux environment. The book also presents hybrid codes that integrate selected APIs for potentially multi-level parallelization and utilization of heterogeneous resources, and it shows how to use modern elements of these APIs. Selected optimization techniques are also included, such as overlapping communication and computations implemented using various APIs. Features: Discusses the popular and currently available computing devices and cluster systems Includes typical paradigms used in parallel programs Explores popular APIs for programming parallel applications Provides code templates that can be used for implementation of paradigms Provides hybrid code examples allowing multi-level parallelization Covers the optimization of parallel programs

Author : Michael McCool,James Reinders,Arch Robison
Publisher : Elsevier
Page : 434 pages
File Size : 45,7 Mb
Release : 2012-06-25
Category : Computers
ISBN : 9780124159938

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Structured Parallel Programming by Michael McCool,James Reinders,Arch Robison Pdf

Programming is now parallel programming. Much as structured programming revolutionized traditional serial programming decades ago, a new kind of structured programming, based on patterns, is relevant to parallel programming today. Parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders describe how to design and implement maintainable and efficient parallel algorithms using a pattern-based approach. They present both theory and practice, and give detailed concrete examples using multiple programming models. Examples are primarily given using two of the most popular and cutting edge programming models for parallel programming: Threading Building Blocks, and Cilk Plus. These architecture-independent models enable easy integration into existing applications, preserve investments in existing code, and speed the development of parallel applications. Examples from realistic contexts illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology. The patterns-based approach offers structure and insight that developers can apply to a variety of parallel programming models Develops a composable, structured, scalable, and machine-independent approach to parallel computing Includes detailed examples in both Cilk Plus and the latest Threading Building Blocks, which support a wide variety of computers

Author : Giancarlo Zaccone
Publisher : Packt Publishing Ltd
Page : 286 pages
File Size : 45,5 Mb
Release : 2015-08-26
Category : Computers
ISBN : 9781785286728

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Python Parallel Programming Cookbook by Giancarlo Zaccone Pdf

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.

Author : Anonim
Publisher : Unknown
Page : 240 pages
File Size : 49,8 Mb
Release : 1998
Category : Parallel computers
ISBN : UOM:39015040318373

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Programming Models for Massively Parallel Computers by Anonim Pdf

Author : Shirley A. Williams
Publisher : Unknown
Page : 182 pages
File Size : 51,8 Mb
Release : 2024-05-22
Category : Electronic
ISBN : 0608220140

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Programming Models for Parallel Systems by Shirley A. Williams Pdf

Author : Hermann Hellwagner
Publisher : Institute of Electrical & Electronics Engineers(IEEE)
Page : 150 pages
File Size : 50,8 Mb
Release : 1997
Category : Computer programming
ISBN : STANFORD:36105020333352

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Second International Workshop on High-Level Parallel Programming Models and Supportive Environments by Hermann Hellwagner Pdf

Proceedings -- Parallel Computing.

Author : Guy-Rene Perrin,Alain Darte
Publisher : Springer Science & Business Media
Page : 316 pages
File Size : 42,7 Mb
Release : 1996-09-11
Category : Computers
ISBN : 3540617361

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The Data Parallel Programming Model by Guy-Rene Perrin,Alain Darte Pdf

This monograph-like book assembles the thorougly revised and cross-reviewed lectures given at the School on Data Parallelism, held in Les Menuires, France, in May 1996. The book is a unique survey on the current status and future perspectives of the currently very promising and popular data parallel programming model. Much attention is paid to the style of writing and complementary coverage of the relevant issues throughout the 12 chapters. Thus these lecture notes are ideally suited for advanced courses or self-instruction on data parallel programming. Furthermore, the book is indispensable reading for anybody doing research in data parallel programming and related areas.

Author : F. Xhafa
Publisher : IOS Press
Page : 364 pages
File Size : 51,8 Mb
Release : 2009-06-04
Category : Computers
ISBN : 9781607504283

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Parallel Programming, Models and Applications in Grid and P2P Systems by F. Xhafa Pdf

The demand for more computing power has been a constant trend in many fields of science, engineering and business. Now more than ever, the need for more and more processing power is emerging in the resolution of complex problems from life sciences, financial services, drug discovery, weather forecasting, massive data processing for e-science, e-commerce and e-government etc. Grid and P2P paradigms are based on the premise to deliver greater computing power at less cost, thus enabling the solution of such complex problems. Parallel Programming, Models and Applications in Grid and P2P Systems presents recent advances for grid and P2P paradigms, middleware, programming models, communication libraries, as well as their application to the resolution of real-life problems. By approaching grid and P2P paradigms in an integrated and comprehensive way, we believe that this book will serve as a reference for researchers and developers of the grid and P2P computing communities. Important features of the book include an up-to-date survey of grid and P2P programming models, middleware and communication libraries, new approaches for modeling and performance analysis in grid and P2P systems, novel grid and P2P middleware as well as grid and P2P-enabled applications for real-life problems. Academics, scientists, software developers and engineers interested in the grid and P2P paradigms will find the comprehensive coverage of this book useful for their academic, research and development activity.

Author : R. Correa,Ines de Castro Dutra,Mario Fiallos,Luiz Fernando Gomes da Silva
Publisher : Springer Science & Business Media
Page : 334 pages
File Size : 55,8 Mb
Release : 2013-06-29
Category : Computers
ISBN : 9781475736090

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Models for Parallel and Distributed Computation by R. Correa,Ines de Castro Dutra,Mario Fiallos,Luiz Fernando Gomes da Silva Pdf

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.

Author : Wolfgang Giloi,Stefan Jähnichen,Bruce D. Shriver
Publisher : Unknown
Page : 232 pages
File Size : 43,8 Mb
Release : 1993
Category : Computers
ISBN : UOM:39015034259625

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Programming Models for Massively Parallel Computers, 1993 by Wolfgang Giloi,Stefan Jähnichen,Bruce D. Shriver Pdf

Proceedings -- Parallel Computing.

Author : Subodh Kumar
Publisher : Cambridge University Press
Page : 128 pages
File Size : 44,5 Mb
Release : 2022-07-31
Category : Computers
ISBN : 9781009276306

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Introduction to Parallel Programming by Subodh Kumar Pdf

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.