The Data Parallel Programming Model

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 Data Parallel Programming Model

Author: Guy-Rene Perrin

Publisher: Springer Science & Business Media

ISBN: 9783540617365

Page: 284

View: 718

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.

Data Parallel C

This book begins by introducing data parallelism and foundational topics for effective use of the SYCL standard from the Khronos Group and Data Parallel C++ (DPC++), the open source compiler used in this book.

Data Parallel C

Author: James Reinders

Publisher: Apress

ISBN: 9781484255735

Page: 590

View: 353

Use this book to learn how to accelerate C++ programs using data parallelism. Data parallelism in C++ enables access to parallel resources in a modern heterogeneous system, freeing the programmer from being locked into any particular computing device. Now a single C++ application can use any combination of devices—including GPUs, CPUs, FPGAs and AI ASICs—that are suitable to the problems at hand. This book teaches data-parallel programming using C++ and the SYCL standard from the Khronos Group, and walks through everything needed to use SYCL for programming heterogeneous systems. SYCL programs perform best when paired with SYCL-aware C++ compilers such as the open source Data Parallel C++ (DPC++) compiler used in this book. The material in this book is approachable to both those new to data-parallel programming and seasoned parallel programming veterans. It is full of practical advice, detailed explanations, and code examples to illustrate key topics. This book begins by introducing data parallelism and foundational topics for effective use of SYCL and DPC++. Later chapters cover advanced topics including error handling, hardware-specific programming, communication and synchronization, and memory model considerations. This open access book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. What You'll Learn How to accelerate C++ programs using data-parallel programming How to target multiple device types (e.g. CPU, GPU, FPGA) How to use SYCL and SYCL compilers How to connect with computing’s heterogeneous future via Intel’s oneAPI initiative Who This Book Is For Computer programmers interested in data-parallel programming using C++.

Data parallel Programming on MIMD Computers

For example, the inclusion of virtual processors into the data-parallel
programming model makes programs simpler and shorter, because it eliminates
the chore of manipulating multiple data items on a single processor. However, in
some ...

Data parallel Programming on MIMD Computers

Author: Philip J. Hatcher

Publisher: MIT Press

ISBN: 9780262082051

Page: 231

View: 551

Mathematics of Computing -- Parallelism.

Concurrency and Parallelism Programming Networking and Security

A Calculational Approach to Flattening Nested Data Parallelism in Functional
Languages Gabriele Keller and Martin Simons Technische Universitat Berlin
Forschungsgruppe Softwaretechnik* Abstract. The data-parallel programming
model is ...

Concurrency and Parallelism  Programming  Networking  and Security

Author: Joxan Jaffar

Publisher: Springer Science & Business Media

ISBN: 9783540620310

Page: 394

View: 888

This book constitutes the refereed proceedings of the Second Asian Conference on Computing Science, ASIAN'96, held in Singapore in December 1996. The volume presents 31 revised full papers selected from a total of 169 submissions; also included are three invited papers and 14 posters. The papers are organized in topical sections on algorithms, constraints and logic programming, distributed systems, formal systems, networking and security, programming and systems, and specification and verification.

Programming Models for Parallel Computing

16.5.4 Programming Models An execution model defines an abstract
representation of a computer system that a programmer can ... Data parallelism: a
single sequence of instructions is applied concurrently to each element of a data
structure.

Programming Models for Parallel Computing

Author: Pavan Balaji

Publisher: MIT Press

ISBN: 0262528819

Page: 488

View: 148

An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style.

Proceedings of the 1993 International Conference on Parallel Processing

Function - Parallel Computation in a Data - Parallel Environment Automatic
Parallelization Techniques for the EM - 4 Lubomir Bic ... of these problems cannot
normally be directly expressed using the data - parallel programming model .

Proceedings of the 1993 International Conference on Parallel Processing

Author: Alok N. Choudhary

Publisher: CRC Press

ISBN: 9780849389856

Page: 336

View: 462

This three-volume work presents a compendium of current and seminal papers on parallel/distributed processing offered at the 22nd International Conference on Parallel Processing, held August 16-20, 1993 in Chicago, Illinois. Topics include processor architectures; mapping algorithms to parallel systems, performance evaluations; fault diagnosis, recovery, and tolerance; cube networks; portable software; synchronization; compilers; hypercube computing; and image processing and graphics. Computer professionals in parallel processing, distributed systems, and software engineering will find this book essential to their complete computer reference library.

High Level Parallel Programming Models and Supportive Environments

Integrating Task and Data Parallelism by Means of Coordination Patterns⋆
Manuel D ́ıaz, Bartolomé Rubio, Enrique Soler, and José M. Troya Dpto.
Lenguajes y Ciencias de la Computación, Málaga University 29071 Málaga,
Spain {mdr,tolo ...

High Level Parallel Programming Models and Supportive Environments

Author: Frank Mueller

Publisher: Springer Science & Business Media

ISBN: 3540419446

Page: 137

View: 407

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.

Structured Parallel Programming

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 ...

Structured Parallel Programming

Author: Michael D. McCool

Publisher: Elsevier

ISBN: 0124159931

Page: 406

View: 614

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

Euro Par 96 Parallel Processing

Data-parallel languages offer a programming model structured and easy to
understand. The challenge consists in taking advantage of the power of present
parallel architectures by a compilation process allowing to reduce the number
and the ...

Euro Par  96   Parallel Processing

Author: Jan Van Leeuwen

Publisher: Springer Science & Business Media

ISBN: 9783540616269

Page: 842

View: 452

Content Description #Includes bibliographical references and index.

Parallel Processing and Parallel Algorithms

The data parallel programming approach is characterized by a relatively large
number of synchronous processes ... The distributed-memory model has
received considerable attention because it appears to be scalable to higher
orders of ...

Parallel Processing and Parallel Algorithms

Author: Seyed H Roosta

Publisher: Springer Science & Business Media

ISBN: 9780387987163

Page: 566

View: 653

Motivation It is now possible to build powerful single-processor and multiprocessor systems and use them efficiently for data processing, which has seen an explosive ex pansion in many areas of computer science and engineering. One approach to meeting the performance requirements of the applications has been to utilize the most powerful single-processor system that is available. When such a system does not provide the performance requirements, pipelined and parallel process ing structures can be employed. The concept of parallel processing is a depar ture from sequential processing. In sequential computation one processor is in volved and performs one operation at a time. On the other hand, in parallel computation several processors cooperate to solve a problem, which reduces computing time because several operations can be carried out simultaneously. Using several processors that work together on a given computation illustrates a new paradigm in computer problem solving which is completely different from sequential processing. From the practical point of view, this provides sufficient justification to investigate the concept of parallel processing and related issues, such as parallel algorithms. Parallel processing involves utilizing several factors, such as parallel architectures, parallel algorithms, parallel programming lan guages and performance analysis, which are strongly interrelated. In general, four steps are involved in performing a computational problem in parallel. The first step is to understand the nature of computations in the specific application domain.

Vector and Parallel Processing VECPAR 96

We propose then a new irregular and dynamic data-parallel programming model,
called Idole. Finally we discuss its integration in the C++ language, and present
an overview of the Idole extension of C++. 1 Irregularity and Data-Parallelism ...

Vector and Parallel Processing   VECPAR 96

Author: Portugal) International Conference on Vector and Parallel Processing-Systems and Applications (2nd : 1996 : Porto

Publisher: Springer Science & Business Media

ISBN: 9783540628286

Page: 469

View: 418

This book constitutes a carefully arranged selection of revised full papers chosen from the presentations given at the Second International Conference on Vector and Parallel Processing - Systems and Applications, VECPAR'96, held in Porto, Portugal, in September 1996. Besides 10 invited papers by internationally leading experts, 17 papers were accepted from the submitted conference papers for inclusion in this documentation following a second round of refereeing. A broad spectrum of topics and applications for which parallelism contributes to progress is covered, among them parallel linear algebra, computational fluid dynamics, data parallelism, implementational issues, optimization, finite element computations, simulation, and visualisation.

Languages and Compilers for Parallel Computing

In this paper, we present an efficient technique for optimising data replication
under the data parallel programming model. We propose a precise mathematical
representation for data replication which allows handling replication as an
explicit, ...

Languages and Compilers for Parallel Computing

Author: Larry Carter

Publisher: Springer Science & Business Media

ISBN: 3540678581

Page: 500

View: 975

This volume constitutes the refereed proceedings of the 12th International Workshop on Languages and Compilers for Parallel Computing, LCPC'99, held in La Jolla, CA, USA in August 1999. The 27 revised full papers and 14 posters presented have gone through two rounds of selection and reviewing. The volume offers topical sections on Java, low-level transformations, data distribution, high-level transformations, models, array analysis, language support, and compiler design and cost analysis.

Parallel Programming Models and Applications in Grid and P2P Systems

All rights reserved. doi:10.3233/978-1-60750-004-9-24 Formalizing Parallel
Programming in Large Scale Distributed Networks: From Tasks Parallel and Data
Parallel to Applied Categorical Structures Phan CONG-VINH Centrefor Applied ...

Parallel Programming  Models and Applications in Grid and P2P Systems

Author: F. Xhafa

Publisher: IOS Press

ISBN: 1607504286

Page: 350

View: 769

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.

Parallel and Distributed Computing

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 ...

Parallel and Distributed Computing

Author: Claudia Leopold

Publisher: Wiley-Interscience

ISBN:

Page: 260

View: 352

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.

Advanced Computer Architecture and Computing

and Computing Programming Techniques fork ( 1 ) Add _ array ( input : A ( N / 2 +
1 : N ] , output : sum ) States that the ... The data parallel programming model has
the following features ; 1 ) The main idea here is to execute the same program ...

Advanced Computer Architecture and Computing

Author: S.S.Jadhav

Publisher: Technical Publications

ISBN: 9788184315721

Page: 472

View: 350

Professional Parallel Programming with C

Professional Parallel Programming with C#: Focuses on creating scalable and reliable parallelized designs targeting the new Task Parallel Library and .NET 4 Walks you through imperative data parallelism, imperative task parallelism, ...

Professional Parallel Programming with C

Author: Gast?n C. Hillar

Publisher: John Wiley & Sons

ISBN: 1118029771

Page: 576

View: 707

Expert guidance for those programming today’s dual-core processors PCs As PC processors explode from one or two to now eight processors, there is an urgent need for programmers to master concurrent programming. This book dives deep into the latest technologies available to programmers for creating professional parallel applications using C#, .NET 4, and Visual Studio 2010. The book covers task-based programming, coordination data structures, PLINQ, thread pools, asynchronous programming model, and more. It also teaches other parallel programming techniques, such as SIMD and vectorization. Teaches programmers professional-level, task-based, parallel programming with C#, .NET 4, and Visual Studio 2010 Covers concurrent collections, coordinated data structures, PLINQ, thread pools, asynchronous programming model, Visual Studio 2010 debugging, and parallel testing and tuning Explores vectorization, SIMD instructions, and additional parallel libraries Master the tools and technology you need to develop thread-safe concurrent applications for multi-core systems, with Professional Parallel Programming with C#.

Parallel Programming

The book can be used as both a textbook for students and a reference book for professionals. The presented material has been used for courses in parallel programming at different universities for many years.

Parallel Programming

Author: Thomas Rauber

Publisher: Springer Science & Business Media

ISBN: 364204817X

Page: 455

View: 346

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. The main goal of the book is to present parallel programming techniques that can be used in many situations for many 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 presented material has been used for courses in parallel programming at different universities for many years.

Programming Massively Parallel Processors

This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth.

Programming Massively Parallel Processors

Author: David B. Kirk

Publisher: Newnes

ISBN: 0123914183

Page: 514

View: 857

Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing

Parallel and Distributed Processing and Applications

Data. Redistribution. on. Banded. Sparse. Matrix1. Ching-Hsien Hsu and Kun-
Ming Yu Department of Computer Science ... The data-parallel programming
model has become a widely accepted paradigm for programming distributed-
memory ...

Parallel and Distributed Processing and Applications

Author: Minyi Guo

Publisher: Springer Science & Business Media

ISBN: 3540405232

Page: 450

View: 534

Welcome to the proceedings of the 2003 International Symposium on Parallel and Distributed Processing and Applications (ISPA 2003) which was held in Aizu-Wakamatsu City, Japan, July 2–4, 2003. Parallel and distributed processing has become a key technology which will play an important part in determining, or at least shaping, future research and development activities in many academic and industrial branches. This inter- tionalsymposiumISPA2003broughttogethercomputerscientistsandengineers, applied mathematicians and researchers to present, discuss and exchange ideas, results, work in progress and experience of research in the area of parallel and distributed computing for problems in science and engineering applications. There were very many paper submissions from 13 countries and regions, - cluding not only Asia and the Paci?c, but also Europe and North America. All submissions were reviewed by at least three program or technical committee members or external reviewers. It was extremely di?cult to select the presen- tions for the symposium because there were so many excellent and interesting ones. In order to allocate as many papers as possible and keep the high quality of the conference, we ?nally decided to accept 39 papers (30 long papers and 9 short papers) for oral technical presentations. We believe all of these papers and topics will not only provide novel ideas, new results, work in progress and state-of-the-art techniques in this ?eld, but will also stimulate future research activities in the area of parallel and distributed processing with applications.