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: 838

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

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."

Author: Thomas Fahringer

Publisher:

ISBN: NASA:31769000700248

Category: Parallel programming (Computer science)

Page: 15

View: 192

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)

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: 543

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

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: 617

An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style.
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: 884

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: 833

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: 352

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

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: 955

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

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: 525

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: 617

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

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: 747

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

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: 912

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

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: 756

Categories:

Parallel and Distributed Processing and Applications

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 ...

Author: Minyi Guo

Publisher: Springer Science & Business Media

ISBN: 9783540405238

Category: Business & Economics

Page: 450

View: 840

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.
Categories: Business & Economics

High Performance Computing and the Art of Parallel Programming

High Performance Computing and the Art of Parallel Programming

In Chapter6, it was converted into amulti-tasking program but not into eithera
sharedDO loop or a dataparallel form, because it was judged to be unsuitablefor
these parallel programming models. Indeed, the GAM is inherently far more ...

Author: Stan Openshaw

Publisher: Routledge

ISBN: 9781134729715

Category: Science

Page: 304

View: 463

This book provides a non-technical introduction to High Performance Computing applications together with advice about how beginners can start to write parallel programs. The authors show what HPC can offer geographers and social scientists and how it can be used in GIS. They provide examples of where it has already been used and suggestions for other areas of application in geography and the social sciences. Case studies drawn from geography explain the key principles and help to understand the logic and thought processes that lie behind the parallel programming.
Categories: Science

Efficient Numerical Methods and Information Processing Techniques for Modeling Hydro and Environmental Systems

Efficient Numerical Methods and Information Processing Techniques for Modeling Hydro  and Environmental Systems

1 Development of High - Performance Computing For about two decades , vector
and parallel computers have been used for modeling hydro - and environmental
systems . After a starting period , during which the HPC systems were mainly ...

Author: Reinhard Hinkelmann

Publisher: Springer Science & Business Media

ISBN: 3540241469

Category: Science

Page: 306

View: 386

Numerical simulation models have become indispensable in hydro- and environmental sciences and engineering. This monograph presents a general introduction to numerical simulation in environment water, based on the solution of the equations for groundwater flow and transport processes, for multiphase and multicomponent flow and transport processes in the subsurface as well as for flow and transport processes in surface waters. It displays in detail the state of the art of discretization and stabilization methods (e.g. finite-difference, finite-element, and finite-volume methods), parallel methods, and adaptive methods as well as fast solvers, with particular focus on explaining the interactions of the different methods. The book gives a brief overview of various information-processing techniques and demonstrates the interactions of the numerical methods with the information-processing techniques, in order to achieve efficient numerical simulations for a wide range of applications in environment water.
Categories: Science

On Algorithmic Reductions in Task parallel Programming Models

On Algorithmic Reductions in Task parallel Programming Models

These challenges and their relevance makes reductions a benchmark for compilers, runtime systems and hardware architectures today. This work advances research on algorithmic reductions.

Author: Jan Ciesko

Publisher:

ISBN: OCLC:1120471544

Category:

Page: 178

View: 624

Wide adoption of parallel processing hardware in mainstream computing as well as the interest for efficient parallel programming in developer communities increase the demand for programming models that offer support for common algorithmic patterns. An algorithmic pattern of particular interest are reductions. Reductions are iterative memory updates of a program variable and appear in many applications. While their definition is simple, their variety of implementations including the use of different loop constructs and calling patterns makes their support in parallel programming models difficult. Further, their characteristic update operation over arbitrary data types that requires atomicity makes their execution computationally expensive and scalable execution challenging. These challenges and their relevance makes reductions a benchmark for compilers, runtime systems and hardware architectures today. This work advances research on algorithmic reductions. It improves their programmability by adding support for task-parallel and array-type reductions. Task-parallel reductions occur in while-loops and recursive algorithms. While for each recursive algorithm an iterative formulation exists, while-loop programs represent a super class of for-loop computable programs and therefore cannot be transformed or substituted. This limitation requires an explicit support for reduction algorithms that fall within this class. Since tasks are suited for a concurrent formulation of these algorithms, the presented work focuses on language extension to the task construct in OmpSs and OpenMP. In the first section of this work we present a generic support for task-parallel reductions in OmpSs and OpenMP and introduce the ideas of reduction scope, reduction domains and static and on-demand memory allocation. With this foundation and the feedback received from the OpenMP language review board, we develop a formalized proposal to add support for task-parallel reductions in OpenMP. This engagement led to a fruitful outcome as our proposal has been accepted into OpenMP recently. As a first step towards support of array-type reduction in a task-parallel programming model, we present a landscape of support techniques and group them by their underlying strategy. Techniques follow either the strategy of direct access (atomics), redirection or iteration ordering. We call techniques that implement redirection into thread-private data containers as techniques with alternative memory layouts (AMLs) and techniques that are based on iteration ordering as techniques with alternative iteration space (AIS). A universal support of AML-based techniques in parallel programming models can be achieved by defining basic interface methods allocate, get and reduce. As examples for new techniques that implement this interface, we present CachedPrivate and PIBOR. CachedPrivate implements a software cache to reduce communication caused by irregular accesses to remote nodes on distributed memory systems. PIBOR implements Privatization with In-lined Block-ordering, a technique that improves data locality by redirecting accesses into thread-local bins. Both techniques implement a get-method that returns a private memory storage for each update operation of the reduction loop. As an example of a technique with an alternative iteration space (AIS), we present Commutative Reductions (ComRed). This technique uses an inspector-executor execution model to generate knowledge about memory access patterns and memory overlaps between participating tasks. This information is used during the execution phase to schedule tasks with overlaps commutatively. We show that this execution model requires only a small set of additional language constructs. Performance results obtained throughout different Chapters of this work demonstrate that software techniques can improve application performance by a factor of 2-4.
Categories:

High Performance Computing and Networking

High Performance Computing and Networking

The message passing programming model dominates the application
development, despite the overhead and the complexity introduced by the
explicitly ... The next step towards automatic distribution is the data parallel
programming model.

Author: Wolfgang Gentzsch

Publisher: Springer Science & Business Media

ISBN: 3540579818

Category: Computers

Page: 526

View: 268

The conference, coorganized by INRIA and Ecole des Mines de Paris, focuses on Discrete Event Systems (DES) and is aimed at engineers, scientists and mathematicians working in the fields of Automatic Control, Operations Research and Statistics who are interested in the modelling, analysis and optimization of DES. Various methods such as Automata theory, Petri nets, etc. are proposed to describe and analyze such systems. Comparison of these different mathematical approaches and the global confrontation of theoretical approaches with applications in manufacturing, telecommunications, parallel computing, transportation, etc. are the goals of the conference.
Categories: Computers

Professional Parallel Programming with C

Professional Parallel Programming with C

able to read and understand the content included in the chapters related to
parallel debugging and tuning. The book is divided ... Chapter 2, “Imperative
Data Parallelism” —Start learning thenew programming models introduced inC#
4and .

Author: Gast?n C. Hillar

Publisher: John Wiley & Sons

ISBN: 9781118029770

Category: Computers

Page: 576

View: 806

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

Recent Advances in Parallel Virtual Machine and Message Passing Interface

Recent Advances in Parallel Virtual Machine and Message Passing Interface

The paper outlines design and implementation issues , and reports the results of
experiments conducted on an SGI / Cray T3E . 1 Introduction Due to its simplicity ,
the data - parallel programming model allows high - level parallel languages ...

Author: Vassil Alexandrov

Publisher: Springer Science & Business Media

ISBN: 3540650415

Category: Computers

Page: 412

View: 210

This book constitutes the refereed proceedings of the 5th European Meeting of the Parallel Virtual Machine and Message Passing Interface Users' Group, PVM/MPI '98, held in Liverpool, UK, in September 1998. The 49 contributed and invited papers presented were carefully reviewed and revised for inclusion in the volume. All current aspects of PVM and MPI are addressed. The papers are organized in topical sections on evaluation and performance, extensions and improvements, implementation issues, tools, and algorithms.
Categories: Computers