The Data Parallel Programming Model

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.

Author: Guy-Rene Perrin

Publisher: Springer Science & Business Media

ISBN: 3540617361

Category: Computers

Page: 284

View: 481

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.
Categories: Computers

Parallel Programming Models and Applications in Grid and P2P Systems

Parallel Programming  Models and Applications in Grid and P2P Systems

This book is suitable for academics, scientists, software developers and engineers interested in the grid and P2P paradigms.

Author: Fatos Xhafa

Publisher: IOS Press

ISBN: 9781607500049

Category: Computers

Page: 349

View: 646

Presents advances for grid and P2P paradigms, middleware, programming models, communication libraries, as well as their application to the resolution of real-life problems. This book is suitable for academics, scientists, software developers and engineers interested in the grid and P2P paradigms.
Categories: Computers

On the Utility of Threads for Data Parallel Programming

On the Utility of Threads for Data Parallel Programming

This paper provides a critical look at the utility of lightweight threads as applied to data parallel scientific programming. (KAR) P. 2.

Author: Thomas Fahringer

Publisher:

ISBN: NASA:31769000700248

Category: Parallel programming (Computer science)

Page: 15

View: 681

Threads provide a useful programming model for asynchronous behavior because of their ability to encapsulate units of work that can then be scheduled for execution at runtime, based on the dynamic state of a system. Recently, the threaded model has been applied to the domain of data parallel scientific codes, and initial reports indicate that the threaded model can produce performance gains over non-threaded approaches, primarily through the use of overlapping useful computation with communication latency. However, overlapping computation with communication is possible without the benefit of threads if the communication system supports asynchronous primitives, and this comparison has not been made in previous papers. This paper provides a critical look at the utility of lightweight threads as applied to data parallel scientific programming. (KAR) P. 2.
Categories: Parallel programming (Computer science)

Data Parallel C

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.

Author: James Reinders

Publisher: Apress

ISBN: 1484255739

Category: Computers

Page: 548

View: 741

Learn how to accelerate C++ programs using data parallelism. 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. It is full of practical advice, detailed explanations, and code examples to illustrate key topics. Data parallelism in C++ enables access to parallel resources in a modern heterogeneous system, freeing you 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 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. Later chapters cover advanced topics including error handling, hardware-specific programming, communication and synchronization, and memory model considerations. Data Parallel C++ provides you with everything needed to use SYCL for programming heterogeneous systems. What You'll Learn Accelerate C++ programs using data-parallel programming Target multiple device types (e.g. CPU, GPU, FPGA) Use SYCL and SYCL compilers Connect with computing’s heterogeneous future via Intel’s oneAPI initiative Who This Book Is For Those new data-parallel programming and computer programmers interested in data-parallel programming using C++.
Categories: Computers

Data parallel Programming on MIMD Computers

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 ...

Author: Philip J. Hatcher

Publisher: MIT Press

ISBN: 0262082055

Category: Computers

Page: 231

View: 222

Mathematics of Computing -- Parallelism.
Categories: Computers

Concurrency and Parallelism Programming Networking and Security

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 ...

Author: Joxan Jaffar

Publisher: Springer Science & Business Media

ISBN: 3540620311

Category: Computers

Page: 394

View: 505

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.
Categories: Computers

High Level Parallel Programming Models and Supportive Environments

High Level Parallel Programming Models and Supportive Environments

This is only possible by carefully designing for those concepts and by providing supportive programming environments that facilitate program development and tuning.

Author: Frank Mueller

Publisher: Springer

ISBN: 9783540454014

Category: Computers

Page: 142

View: 815

On the 23rd of April, 2001, the 6th Workshop on High-Level Parallel P- gramming Models and Supportive Environments (LCTES’98) was held in San Francisco. HIPShas been held over the past six years in conjunction with IPDPS, the Internation Parallel and Distributed Processing Symposium. The HIPSworkshop focuses on high-level programming of networks of wo- stations, computing clusters and of massively-parallel machines. Its goal is to bring together researchers working in the areas of applications, language design, compilers, system architecture and programming tools to discuss new devel- ments in programming such systems. In recent years, several standards have emerged with an increasing demand of support for parallel and distributed processing. On one end, message-passing frameworks, such as PVM, MPI and VIA, provide support for basic commu- cation. On the other hand, distributed object standards, such as CORBA and DCOM, provide support for handling remote objects in a client-server fashion but also ensure certain guarantees for the quality of services. The key issues for the success of programming parallel and distributed en- ronments are high-level programming concepts and e?ciency. In addition, other quality categories have to be taken into account, such as scalability, security, bandwidth guarantees and fault tolerance, just to name a few. Today’s challenge is to provide high-level programming concepts without s- ri?cing e?ciency. This is only possible by carefully designing for those concepts and by providing supportive programming environments that facilitate program development and tuning.
Categories: Computers

Programming Models for Parallel Computing

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.

Author: Pavan Balaji

Publisher: MIT Press

ISBN: 9780262528818

Category: Computers

Page: 488

View: 760

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

Proceedings of the 1993 International Conference on Parallel Processing

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 .

Author: Alok N. Choudhary

Publisher: CRC Press

ISBN: 0849389852

Category: Computers

Page: 336

View: 705

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.
Categories: Computers

Structured Parallel Programming

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 ...

Author: Michael D. McCool

Publisher: Elsevier

ISBN: 9780124159938

Category: Computers

Page: 406

View: 653

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
Categories: Computers

Euro Par 96 Parallel Processing

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 ...

Author: Jan Van Leeuwen

Publisher: Springer Science & Business Media

ISBN: 3540616268

Category: Computers

Page: 842

View: 718

Content Description #Includes bibliographical references and index.
Categories: Computers

Parallel Processing and Parallel Algorithms

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 ...

Author: Seyed H Roosta

Publisher: Springer Science & Business Media

ISBN: 0387987169

Category: Computers

Page: 566

View: 840

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.
Categories: Computers

Programming Massively Parallel Processors

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.

Author: David B. Kirk

Publisher: Newnes

ISBN: 9780123914187

Category: Computers

Page: 514

View: 596

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
Categories: Computers

Vector and Parallel Processing VECPAR 96

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 ...

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

Publisher: Springer Science & Business Media

ISBN: 3540628282

Category: Computers

Page: 469

View: 475

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.
Categories: Computers

Professional Parallel Programming with C

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, ...

Author: Gast?n C. Hillar

Publisher: John Wiley & Sons

ISBN: 9781118029770

Category: Computers

Page: 576

View: 757

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#.
Categories: Computers

Languages and Compilers for Parallel Computing

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, ...

Author: Larry Carter

Publisher: Springer Science & Business Media

ISBN: 9783540678588

Category: Computers

Page: 500

View: 600

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.
Categories: Computers

Advanced Computer Architecture and Computing

Advanced Computer Architecture and Computing

Advanced Computer Architecture 5 - 18 Multithread Architecture and Parallel and
Computing Programming ... The data parallel programming model has the
following features ; 1 ) The main idea here is to execute the same program over ...

Author: S.S.Jadhav

Publisher: Technical Publications

ISBN: 8184315724

Category:

Page: 472

View: 177

Categories:

The Massively Parallel Processing System JUMP 1

The Massively Parallel Processing System JUMP 1

A synchronous computation model is called SIMD ( Single - Instruction stream
MultipleData stream ) , and an asynchronous model is called MIMD ( Multiple -
Instruction stream Multiple - Data stream ) . Parallel processing is also
categorized ...

Author:

Publisher: John Wiley & Sons

ISBN: 4274900835

Category: JUMP-1 (Parallel processing system)

Page: 235

View: 340

Categories: JUMP-1 (Parallel processing system)

Parallel and Distributed Computing

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 ...

Author: Claudia Leopold

Publisher: Wiley-Interscience

ISBN: STANFORD:36105028653629

Category: Computers

Page: 260

View: 529

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.
Categories: Computers

Euro Par 99 Parallel Processing

Euro Par    99 Parallel Processing

This is particularly important at a time when parallel computing is undergoing strong and sustained development and experiencing real industrial take-up.

Author: Patrick Amestoy

Publisher: Springer Science & Business Media

ISBN: 9783540664437

Category: Computers

Page: 1503

View: 655

Euro-Parisaninternationalconferencededicatedtothepromotionandadvan- ment of all aspects of parallel computing. The major themes can be divided into the broad categories of hardware, software, algorithms and applications for p- allel computing. The objective of Euro-Par is to provide a forum within which to promote the development of parallel computing both as an industrial te- nique and an academic discipline, extending the frontier of both the state of the art and the state of the practice. This is particularly important at a time when parallel computing is undergoing strong and sustained development and experiencing real industrial take-up. The main audience for and participants in Euro-Parareseenasresearchersinacademicdepartments,governmentlabora- ries and industrial organisations. Euro-Par’s objective is to become the primary choice of such professionals for the presentation of new results in their specic areas. Euro-Par is also interested in applications which demonstrate the e - tiveness of the main Euro-Par themes. There is now a permanent Web site for the series http://brahms. fmi. uni-passau. de/cl/europar where the history of the conference is described. Euro-Par is now sponsored by the Association of Computer Machinery and the International Federation of Information Processing. Euro-Par’99 The format of Euro-Par’99follows that of the past four conferences and consists of a number of topics eachindividually monitored by a committee of four. There were originally 23 topics for this year’s conference. The call for papers attracted 343 submissions of which 188 were accepted. Of the papers accepted, 4 were judged as distinguished, 111 as regular and 73 as short papers.
Categories: Computers