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: 171

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

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

ISBN: 3540617361

Category: Computers

Page: 284

View: 185

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

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

ISBN: 3662194198

Category: Computers

Page: 292

View: 385

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

PDDP

PDDP

PDDP allows the user to program in a shared-memory style and generates codes that are portable to a variety of parallel machines. For interprocessor communication, PDDP uses the fastest communication primitives on each platform.

Author:

Publisher:

ISBN: OCLC:68419685

Category:

Page: 7

View: 869

PDDP, the Parallel Data Distribution Preprocessor, is a data parallel programming model for distributed memory parallel computers. PDDP impelments High Performance Fortran compatible data distribution directives and parallelism expressed by the use of Fortran 90 array syntax, the FORALL statement, and the (WRERE?) construct. Distribued data objects belong to a global name space; other data objects are treated as local and replicated on each processor. PDDP allows the user to program in a shared-memory style and generates codes that are portable to a variety of parallel machines. For interprocessor communication, PDDP uses the fastest communication primitives on each platform.
Categories:

A Programming Model for Massive Data Parallelism with Data Dependencies

A Programming Model for Massive Data Parallelism with Data Dependencies

In this work, we investigate another approach. We run massively data-parallel applications on GPU clusters. We further propose a programming model for massive data parallelism with data dependencies for this scenario.

Author:

Publisher:

ISBN: OCLC:727229512

Category:

Page:

View: 833

Accelerating processors can often be more cost and energy effective for a wide range of data-parallel computing problems than general-purpose processors. For graphics processor units (GPUs), this is particularly the case when program development is aided by environments such as NVIDIA s Compute Unified Device Architecture (CUDA), which dramatically reduces the gap between domain-specific architectures and general purpose programming. Nonetheless, general-purpose GPU (GPGPU) programming remains subject to several restrictions. Most significantly, the separation of host (CPU) and accelerator (GPU) address spaces requires explicit management of GPU memory resources, especially for massive data parallelism that well exceeds the memory capacity of GPUs. One solution to this problem is to transfer data between the GPU and host memories frequently. In this work, we investigate another approach. We run massively data-parallel applications on GPU clusters. We further propose a programming model for massive data parallelism with data dependencies for this scenario. Experience from micro benchmarks and real-world applications shows that our model provides not only ease of programming but also significant performance gains.
Categories:

Programming Models for Parallel Computing

Programming Models for Parallel Computing

OpenCL in principle supports two basic programming models. • Data parallelism: a single sequence of instructions is applied concurrently to each element of a data structure. • Task parallelism: A task is a sequence of instructions and ...

Author: Pavan Balaji

Publisher: MIT Press

ISBN: 9780262528818

Category: Computers

Page: 488

View: 348

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

Opportunities and Constraints of Parallel Computing

Opportunities and Constraints of Parallel Computing

The Steering Committee of the workshop consisted of Prof. R. Karp (University of California at Berkeley), Prof. L. Snyder (University of Washington at Seattle), and Dr. J. L. C. Sanz (IBM Almaden Research Center).

Author: Jorge L.C. Sanz

Publisher: Springer Science & Business Media

ISBN: 9781461396680

Category: Computers

Page: 166

View: 303

At the initiative of the IBM Almaden Research Center and the National Science Foundation, a workshop on "Opportunities and Constraints of Parallel Computing" was held in San Jose, California, on December 5-6, 1988. The Steering Committee of the workshop consisted of Prof. R. Karp (University of California at Berkeley), Prof. L. Snyder (University of Washington at Seattle), and Dr. J. L. C. Sanz (IBM Almaden Research Center). This workshop was intended to provide a vehicle for interaction for people in the technical community actively engaged in research on parallel computing. One major focus of the workshop was massive parallelism, covering theory and models of computing, algorithm design and analysis, routing architectures and interconnection networks, languages, and application requirements. More conventional issues involving the design and use of parallel computers with a few dozen processors were not addressed at the meeting. A driving force behind the realization of this workshop was the need for interaction between theoreticians and practitioners of parallel computation. Therefore, a group of selected participants from the theory community was invited to attend, together with well-known colleagues actively involved in parallelism from national laboratories, government agencies, and industry.
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 Universität Berlin Forschungsgruppe Softwaretechnik * Abstract . The data - parallel programming model ...

Author: Joxan Jaffar

Publisher: Springer Science & Business Media

ISBN: 3540620311

Category: Computers

Page: 394

View: 945

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

Data parallel Programming on MIMD Computers

Data parallel Programming on MIMD Computers

A view of the parallel program development process using a high - level language . ... For example , the inclusion of virtual processors into the data - parallel programming model makes programs simpler and shorter , because it ...

Author: Philip J. Hatcher

Publisher: MIT Press

ISBN: 0262082055

Category: Computers

Page: 231

View: 815

Mathematics of Computing -- Parallelism.
Categories: Computers

High Level Parallel Programming Models and Supportive Environments

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,esc ...

Author: Frank Mueller

Publisher: Springer

ISBN: 9783540454014

Category: Computers

Page: 142

View: 645

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

Euro Par 96 Parallel Processing

Euro Par  96   Parallel Processing

We propose a kernel data - parallel language called TML ( which stands for Twin Memory Language ) which purpose is to offer both a synchronous programming model and an asynchronous execution model . In this language independence is the ...

Author: Jan Van Leeuwen

Publisher: Springer Science & Business Media

ISBN: 3540616268

Category: Computers

Page: 842

View: 364

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

Proceedings of the 1993 International Conference on Parallel Processing

Proceedings of the 1993 International Conference on Parallel Processing

Th functionparallelism of these problems cannot normally be directly expressed using the data - parallel programming model . In this paper , data distribution strategies have been explored which allow an asynchronous problem to be ...

Author: Alok N. Choudhary

Publisher: CRC Press

ISBN: 0849389852

Category: Computers

Page: 336

View: 405

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

Proceedings of the Fifth SIAM Conference on Parallel Processing for Scientific Computing

Proceedings of the Fifth SIAM Conference on Parallel Processing for Scientific Computing

The terms " control parallel model ” and “ data parallel model ” are used to indicate a particular combination of the virtual machine model and the programming model . The salient features of these models are outlined below .

Author: J. J. Dongarra

Publisher: SIAM

ISBN: 089871303X

Category: Science

Page: 648

View: 341

This text gives the proceedings for the fifth conference on parallel processing for scientific computing.
Categories: Science

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: 787

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

Foundations of Data Intensive Applications

Foundations of Data Intensive Applications

Programming a parallel data-intensive application is a complex undertaking. Data-intensive frameworks provide programming abstractions to make it easy to develop applications at scale. The programming models and data structures used by ...

Author: Supun Kamburugamuve

Publisher: John Wiley & Sons

ISBN: 9781119713012

Category: Computers

Page: 416

View: 528

PEEK “UNDER THE HOOD” OF BIG DATA ANALYTICS The world of big data analytics grows ever more complex. And while many people can work superficially with specific frameworks, far fewer understand the fundamental principles of large-scale, distributed data processing systems and how they operate. In Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood, renowned big-data experts and computer scientists Drs. Supun Kamburugamuve and Saliya Ekanayake deliver a practical guide to applying the principles of big data to software development for optimal performance. The authors discuss foundational components of large-scale data systems and walk readers through the major software design decisions that define performance, application type, and usability. You???ll learn how to recognize problems in your applications resulting in performance and distributed operation issues, diagnose them, and effectively eliminate them by relying on the bedrock big data principles explained within. Moving beyond individual frameworks and APIs for data processing, this book unlocks the theoretical ideas that operate under the hood of every big data processing system. Ideal for data scientists, data architects, dev-ops engineers, and developers, Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood shows readers how to: Identify the foundations of large-scale, distributed data processing systems Make major software design decisions that optimize performance Diagnose performance problems and distributed operation issues Understand state-of-the-art research in big data Explain and use the major big data frameworks and understand what underpins them Use big data analytics in the real world to solve practical problems
Categories: Computers

Fundamentals of Parallel Multicore Architecture

Fundamentals of Parallel Multicore Architecture

However , data parallel programming model is not very flexible : it requires the same type of computation to be applied to many data items . Some flexibility is possible , for example a mask can be specified to a vector operation so ...

Author: Yan Solihin

Publisher: CRC Press

ISBN: 9781482211191

Category: Computers

Page: 494

View: 466

Although multicore is now a mainstream architecture, there are few textbooks that cover parallel multicore architectures. Filling this gap, Fundamentals of Parallel Multicore Architecture provides all the material for a graduate or senior undergraduate course that focuses on the architecture of multicore processors. The book is also useful as a ref
Categories: Computers

Industrial Strength Parallel Computing

Industrial Strength Parallel Computing

3.2 Data-Parallel Models Data-parallel describes models where the execution of instructions in parallel is implicitly driven by the layout of the data structures in memory. The data structures are generally large arrays, ...

Author: Alice Evelyn Koniges

Publisher: Morgan Kaufmann

ISBN: 9781558605404

Category: Computers

Page: 597

View: 656

Today, parallel computing experts can solve problems previously deemed impossible and make the "merely difficult" problems economically feasible to solve. This book presents and synthesizes the recent experiences of reknown expert developers who design robust and complex parallel computing applications. They demonstrate how to adapt and implement today's most advanced, most effective parallel computing techniques. The book begins with a highly focused introductory course designed to provide a working knowledge of all the relevant architectures, programming models, and performance issues, as well as the basic approaches to assessment, optimization, scheduling, and debugging. Next comes a series of seventeen detailed case studies all dealing with production-quality industrial and scientific applications, all presented firsthand by the actual code developers. Each chapter follows the same comparison-inviting format, presenting lessons learned and algorithms developed in the course of meeting real, non-academic challenges. A final section highlights the case studies' most important insights and turns an eye to the future of the discipline. * Provides in-depth case studies of seventeen parallel computing applications, some built from scratch, others developed through parallelizing existing applications. * Explains elements critical to all parallel programming environments, including: ** Terminology and architectures ** Programming models and methods ** Performance analysis and debugging tools * Teaches primarily by example, showing how scientists in many fields have solved daunting problems using parallel computing. * Covers a wide range of application areas biology, aerospace, semiconductor design, environmental modeling, data imaging and analysis, fluid dynamics, and more. * Summarizes the state of the art while looking to the future of parallel computing. Presents technical animations and visualizations from many of the applications detailed in the case studies via a companion web site.
Categories: Computers

The OpenCL Programming Book

The OpenCL Programming Book

OpenCL provides API for the following programming models. • Data parallel programming model • Task parallel programming model In the data parallel programming model, the same kernel is passed through the command queue to be executed ...

Author: http://www.fixstars.com/en/opencl/book/

Publisher: Fixstars

ISBN:

Category:

Page:

View: 370

Categories:

Parallel Computing Technologies

Parallel Computing Technologies

The main contribution of the paper can be summarized as a new parallel computational model that addresses BLAST calculations using a data-parallel programming model to distribute BLAST tasks adapted for commodity clusters.

Author: Victor Malyshkin

Publisher: Springer

ISBN: 9783030256364

Category: Computers

Page: 446

View: 562

This book constitutes the proceedings of the 15th International Conference on Parallel Computing Technologies, PaCT 2019, held in Almaty, Kazakhstan, in August 2019. The 24 full papers and 10 short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on Programming Languages and Execution Environments; Methods and Tools for Parallel Solution of Large-Scale Problems; Data Processing; Cellular Automata; and Distributed Algorithms.
Categories: Computers