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检索条件"任意字段=International Workshop on High-Level Parallel Programming Models and Supportive Environments"

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A comparison between MPI and OpenMP Branch-and-Bound skeletons

A comparison between MPI and OpenMP Branch-and-Bound skeleto...

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international workshop on high-level parallel programming models and supportive environments

作者： I. Dorta C. Leon C. Rodriguez Departamento de Estadística I.O. y Computación Edificio de Física y Matemáticas Universidad de La Laguna Tenerife Spain

This article describes and compares two parallel implementations of Branch-and-Bound skeletons. Using the C++ programming language, the user has to specify the type of the problem, the type of the solution and the specific characteristics of the branch-and-bound technique. This information is combined with the provided resolution skeletons to obtain a distributed and a shared parallel programs. MPI has been used to develop the message passing algorithm and for the shared memory one OpenMP has been chosen. Computational results for the 0/1 Knapsack Problem on a Sunfire 6800 SMP, a Origin 3000 and a PCs cluster are presented.

关键词： Skeleton Concurrent computing Computer languages Application software high performance computing parallel processing Libraries Message passing Clustering algorithms Personal communication networks

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PDE-oriented language compilation and optimization with CTADEL for parallel computing

PDE-oriented language compilation and optimization with CTAD...

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international workshop on high-level parallel programming models and supportive environments

作者： R. van Engelen L. Wolters G. Cats High Performance Computing Division Department of Computer Science Leiden University Leiden Netherlands Royal Netherlands Meteorological Institute Netherlands

In this paper we focus on generating efficient parallel codes for solving scientific problems within large-scale performance-critical applications. More specifically we present techniques for high-level symbolic optimization for automatic generation of efficient codes that numerically solve sets of computationally expensive right-hand sides (RHSs) of systems of partial differential equations (PDEs). These type of PDE problems can be found in application areas like numerical weather prediction, ocean circulation modeling, and climate modeling. To solve the PDEs describing the physical problem, high-performance software environments and computer platforms are required. The CTADEL application driver is a software environment for generating optimized codes for serial, vector, or parallel architectures from a high-level PDE problem description of a weather forecast model. The advantage of the high-level problem description is that all of the high-level information can be exploited for parallelization, restructuring, and optimization from the highest descriptive level to the low-level generated code.

关键词： parallel processing Weather forecasting Predictive models Application software Computer science Oceans Wind forecasting Computer architecture high performance computing Large-scale systems

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SCL-Chan: an asynchronous data-parallel language for irregular algorithms

SCL-Chan: an asynchronous data-parallel language for irregul...

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international workshop on high-level parallel programming models and supportive environments

作者： E. Melin B. Raffin X. Rebeuf B. Virot LIFO IIIA Université dE28099Orléans Orleans France

parallelism suffers from a lack of programming languages both simple to handle and able to take advantage of the power of present parallel computers. If parallelism expression is too high level, compilers have to perform complex optimizations leading often to poor performances. One the other hand, too low level parallelism transfers difficulties toward the programmer. We propose a programming language that integrates both a synchronous data parallel programming model and an asynchronous execution model. The synchronous data parallel programming model allows safe program design. The asynchronous execution model yields an efficient execution on present MIMD architectures without any program transformation. Our language relies an logical instruction ordering exploited by specific send/receive communications. It allows one to express only the effective data dependences between processors. This ability is enforced by a possible send/receive unmatching, useful for irregular algorithms. A sparse vector computation exemplifies our language potentialities.

关键词： parallel processing Concurrent computing parallel programming programming profession Optimizing compilers Computer languages System recovery Communication system control Computer architecture Algorithm design and analysis

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Arches: an infrastructure for PSE development

Arches: an infrastructure for PSE development

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international workshop on high-level parallel programming models and supportive environments

作者： N. DeBardeleben W.B. Ligon R. Sass Parallel Architecture Research Laboratory Holcombe Department of Electrical & Computer Engineering Clemson University Clemson SC USA

In this paper, we describe Arches, an object-oriented framework for building domain-specific PSEs. The framework was designed to support a wide range of problem domains and to be extendable in a way that allows it to target very different high-performance computing models. To demonstrate this flexibility we describe two PSEs that have been developed from the same framework yet solve different problems and target very different computing platforms. The Coven PSE supports parallel applications that need the large-scale parallelism that is found in cost-effective Beowulf clusters. In contrast, the RCADE PSE targets reconfigurable computing (FPGA-based) platforms with fine-grain parallelism. RCADE was designed to aid NASA Earth scientists interested in studying satellite instrument data and who are unlikely to be schooled in low-level hardware design.

关键词： parallel processing Buildings Object oriented modeling Large-scale systems Concurrent computing NASA Earth Satellites Instruments Educational institutions

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ZPL's WYSIWYG performance model

ZPL's WYSIWYG performance model

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international workshop on high-level parallel programming models and supportive environments

作者： B.L. Chamberlain C. Lin Sung-Eun Choi L. Snyder E.C. Lewis W.D. Weathersby University of Washington Seattle WA USA

ZPL is a parallel array language designed for high performance scientific and engineering computations. Unlike other parallel languages, ZPL is founded on a machine model (the CTA) that accurately abstracts contemporary MIMD parallel computers. This makes it possible to correlate ZPL programs with machine behavior. As a result, programmers can reason about how code will perform on a typical parallel machine and thereby make informed decisions between alternative programming solutions. The paper describes ZPL's performance model and its syntactic cues for conveying operation cost. The what you see is what you get (WYSIWYG) nature of ZPL operations is demonstrated on the IBM SP-2, Intel Paragon, SGI Power Challenge, and Cray T3E. Additionally, the model is used to evaluate two algorithms for matrix multiplication. Experiments show that the performance model correctly predicts the faster solution on all four platforms for a range of problem sizes.

关键词： Concurrent computing Design engineering high performance computing parallel languages Abstracts programming profession parallel machines parallel programming Costs Predictive models

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Making distributed shared memory simple, yet efficient

Making distributed shared memory simple, yet efficient

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international workshop on high-level parallel programming models and supportive environments

作者： M. Swanson L. Stoller J. Carter Computer Systems Laboratory University of Utah USA

Recent research on distributed shared memory (DSM) has focussed on improving performance by reducing the communication overhead of DSM. Features added include lazy release consistency based coherence protocols and new interfaces that give programmers the ability to hand tune communication. These features have increased DSM performance at the expense of requiring increasingly complex DSM systems or increasingly cumbersome programming. They have also increased the computation overhead of DSM, which has partially offset the communication related performance gains. We chose to implement a simple DSM system, Quarks, with an eye towards hiding most computation overhead while using a very low latency transport layer to reduce the effect of communication overhead. The resulting performance is comparable to that of far more complex DSM systems, such as Treadmarks and Cashmere.

关键词： programming profession Protocols Time sharing computer systems Delay Coherence Distributed computing Laboratories Performance gain Software performance Workstations

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Supporting high level programming with high performance: the Illinois Concert system

Supporting high level programming with high performance: the...

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international workshop on high-level parallel programming models and supportive environments

作者： A. Chien J. Dolby B. Ganguly V. Karamcheti Xingbin Zhang Department of Computer Science University of Illinois Urbana IL USA

Programmers of concurrent applications are faced with a complex performance space in which data distribution and concurrency management exacerbate the difficulty of building large, complex applications. To address these challenges, the Illinois Concert system provides a global names-pace, implicit concurrency control and granularity management, implicit storage management, and object oriented programming features. These features are embodied in a language ICC++ (derived from C++) which has been used to build a number of kernels and applications. As high level features can potentially incur overhead, the Concert system employs a range of compiler and runtime optimization techniques to efficiently support the high level programming model. The compiler techniques include type inference, inlining and specialization; and the runtime techniques include caching, prefetching and hybrid stack/heap multithreading. The effectiveness of these techniques permits the construction of complex parallel applications that are flexible, enabling convenient application modification or tuning. We present performance results for a number of application programs which attain good speedups and absolute performance.

关键词： Runtime programming profession Concurrent computing Concurrency control Object oriented programming Kernel Program processors Optimizing compilers Object oriented modeling Prefetching

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Evaluating the XMT parallel programming model 1

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6th international workshop on high level parallel programming models and supportive environments, HIPS 2001

作者： Naishlos, Dorit Nuzman, Joseph Tseng, Chau-Wen Vishkin, Uzi Dept of Computer Science University of Maryland College ParkMD20742 United States Dept of Electrical and Computer Engineering University of Maryland College ParkMD20742 United States University of Maryland Institute of Advanced Computer Studies College ParkMD20742 United States Dept of Computer Science Technion - Israel Institute of Technology Haifa32000 Israel

ISBN: (数字)9783540454014

ISBN: (纸本)3540419446

Explicit-multithreading (XMT) is a parallel programming model designed for exploiting on-chip parallelism. Its features include a simple thread execution model and an efficient prefix-sum instruction for synchronizing shared data accesses. By taking advantage of low-overhead parallel threads and high on-chip memory bandwidth, the XMT model tries to reduce the burden on programmers by obviating the need for explicit task assignment and thread coarsening. This paper presents features of the XMT programming model, and evaluates their utility through experiments on a prototype XMT compiler and architecture simulator. We find the lack of explicit task assignment has slight effects on performance for the XMT architecture. Despite low thread overhead, thread coarsening is still necessary to some extent, but can usually be automatically applied by the XMT compiler. The prefix-sum instruction provides more scalable synchronization than traditional locks, and the simple run-until-completion thread execution model (no busy-waits) does not impair performance. Finally, the combination of features in XMT can encourage simpler parallel algorithms that may be more efficient than more traditional complex approaches. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Program compilers

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Rethinking the pipeline as object-oriented states with transformations

Rethinking the pipeline as object-oriented states with trans...

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international workshop on high-level parallel programming models and supportive environments

作者： S. MacDonald D. Szafron J. Schaeffer School of Computer Science University of Waterloo Waterloo ONT Canada Department of Computing Science University of Alberta Edmonton AB Canada

The pipeline is a simple and intuitive structure to speed up many problems. Novice parallel programmers are usually taught this structure early on. However, expert parallel programmers typically eschew using the pipeline in coarse-grained applications because it has three serious problems that make it difficult to implement efficiently. First, processors are idle when the pipeline is not full. Second, load balancing is crucial to obtaining good speedup. Third, it is difficult to incrementally incorporate more processors into an existing pipeline. Instead, experts recast the problem as a master/slave structure which does not suffer from these problems. This paper details a transformation that allows programs written in a pipeline style to execute using the master/slave structure. parallel programmers can benefit from both the intuitive simplicity of the pipeline and the efficient execution of a master/slave structure. This is demonstrated by performance results from two applications.

关键词： Pipelines Master-slave programming profession Load management Concurrent computing parallel programming Yarn Computer science Decoding Production facilities

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parallel and Distributed Processing 1

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丛书名： Lecture Notes in Computer Science

1000年

ISBN: (数字)9783540489320

ISBN: (纸本)9783540658313

This book constitutes the refereed proceedings of 11 IPPS/SPDP '98 workshops held in conjunction with the 13th international parallel Processing Symposium and the 10th Symposium on parallel and Distributed Processing in San Juan, Puerto Rico, USA in April 1999. The 126 revised papers presented were carefully selected from a wealth of papers submitted. The papers are organised in topical sections on biologically inspired solutions to parallel processing problems: high-level parallel programming models and supportive environments; Biologically Inspired Solutions to parallel Processing; parallel and Distributed Real-Time Systems; Run-Time Systems for parallel programming; Reconfigurable Architectures; Java for parallel and Distributed Computing; Optics and Computer Science; Solving Irregularly Structured Problems in parallel; Personal Computer Based Workstation Networks; Formal Methods for parallel programming; Embedded HPC Systems and Applications.

关键词： Software Engineering/programming and Operating Systems Computer System Implementation Computer Systems Organization and Communication Networks Computer Hardware Discrete Mathematics in Computer Science Theory of Computation

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