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A parallel computing engine for a class of time critical processes

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 1997年第5期27卷 774-786页

作者： Nabhan, TM Zomaya, AY Parallel Computing Research Laboratory Department of Electrical and Electronic Engineering University of Western Australia Perth WA Australia

This paper focuses on the efficient parallel implementation of systems of numerically intensive nature over loosely coupled multiprocessor architectures, These analytical models art of significant importance to many real-time systems that have to meet severe time constants, A parallel computing engine (PCE) has been developed in this work for the efficient simplification and the near optimal scheduling of numerical models over the different cooperating processors of the parallel computer, First, the analytical system is efficiently coded in its general form, The model is then simplified by using any available information (e.g., constant parameters). A task graph representing the interconnections among the different components (or equations) is generated, The graph can then be compressed to control the computation/communication requirements, The task scheduler employs a graph-based iterative scheme, based on the simulated annealing algorithm, to map the vertices of the task graph onto a Multiple-Instruction-stream Multiple-Data-stream (MIMD) type of architecture. The algorithm uses a nonanalytical cost function that properly considers the computation capability of the processors, the network topology, the communication time, and congestion possibilities, Moreover, the proposed technique is simple, flexible, and computationally viable, The efficiency of the algorithm is demonstrated by two case studies with good results.

关键词： parallel processing Engines Computer architecture Optimal scheduling Iterative algorithms Analytical models Real time systems Numerical models Concurrent computing Differential equations

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parallel computing AT CRS4

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INTERNATIONAL JOURNAL OF MODERN PHYSICS C-PHYSICS AND COMPUTERS 1993年第6期4卷 1315-1321页

作者： SCHEININE, AL Parallel Computing Group Center for Advanced Studies Research and Development in Sardinia via Nazario Sauro 10 I-09123 Cagliari Italy

An overview is given of parallel computing work being done at CRS4 (Centro di Ricerca, Sviluppo e Studi Superiori in Sardegna). parallel computation projects include: parallelization of a simulation of the interaction of high energy particles with matter (GEANT), domain decomposition for numerical solution of partial differential equations, seismic migration for oil prospecting, finite-element structural analysis, parallel molecular dynamics, a C++ library for distributed processing of specific functions, and real-time visualization of a computer simulation that runs as distributed processes.

关键词： DOMAIN DECOMPOSITION GEANT SEISMIC MIGRATION parallel MOLECULAR DYNAMICS

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HARNESSING THE KILLER MICROS - APPLICATIONS FROM LLNLS MASSIVELY parallel computing INITIATIVE

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THEORETICA CHIMICA ACTA 1993年第4-5期84卷 315-323页

作者： BELAK, J Massively Parallel Computing Initiative University of California Lawrence Livermore National Laboratory Livermore USA

Recent developments in microprocessor technology have led to performance on scalar applications exceeding traditional supercomputers. This suggests that coupling hundreds or even thousands of these ''killer-micros'' (all working on a single physical problem) may lead to performance on vector applications in excess of vector supercomputers. Also, future generation killer-micros are expected to have vector floating point units as well. The purpose of this paper is to present an overview of the parallel computing environment at Lawrence Liver-more National Laboratory. However, the perspective is necessarily quite narrow and most of the examples are taken from the author's implementation of a large-scale molecular dynamics code on the BBN-TC2000 at LLNL. parallelism is achieved through a geometric domain decomposition - each processor is assigned a distinct region of space and all atoms contained therein. As the atomic positions evolve, the processors must exchange ownership of specific atoms. This geometric domain decomposition proves to be quite general and we highlight its application to image processing and hydrodynamics simulations as well.

关键词： KILLER MICROS MPCI VECTOR APPLICATIONS

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Universal parallel computing research center at Illinois: Making parallel programming synonymous with programming 21

Universal parallel computing research center at Illinois: Ma...

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21st IEEE Hot Chips Symposium, HCS 2009

作者： Snir, Marc UPORO Illinois Universal parallel Computing Research Center United States

ISBN: (纸本)9781467388733

• parallelism need not be hard - much easier than traditional concurrent programming • parallel programming, like programming, is a team effort that requires many different skills and many different tools - coarse-level parallelism for the masses, tuned libraries, refactoring tools, verification and tuning tools • parallel architectures can scale if they take advantage of practical constraints on communication and synchronization in real prog rams. © 2009 IEEE.

关键词： parallel architectures

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CHIMP AND PUL - SUPPORT FOR PORTABLE parallel computing

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FUTURE GENERATION COMPUTER SYSTEMS 1995年第2期11卷 211-219页

作者： BRUCE, RAA CHAPPLE, S MACDONALD, NB TREW, AS TREWIN, S Edinburgh Parallel Computing Centre The University of Edinburgh James Clerk Maxwell Building The King's Buildings May field Road Edinburgh EH9 3JZ UK

The lack of a portable programming interface for parallel computers has inhibited the development of applications for such systems, and thus restricted the exploitation of this technology. In this paper we discuss various efforts to provide a portable interface to parallel computers, and present the Edinburgh CHIMP (Common High-level Interface to Message-Passing), and PUL (parallel Utilities Library) activities in this context. The concepts behind these projects are described, with details of the range of parallel systems on which they are available. An important consequence of the portability offered by the CHIMP message passing layer is the ability for applications programmers to reuse entire programs, as well as code modules. PUL assists this by providing a set of reusable components for implementing parallel applications. Developed on top of CHIMP, the PUL utilities are themselves portable across a range of platforms. Finally, this paper summarises experience using CHIMP and PUL to implement parallel applications in collaboration with both industrial and academic groups.

关键词： MESSAGE PASSING parallel LIBRARIES PORTABILITY REUSABILITY SCALABILITY

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MASSIVELY parallel computing AND THE MID-COURSE TRACKING PROBLEM 91

MASSIVELY PARALLEL COMPUTING AND THE MID-COURSE TRACKING PRO...

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4TH ANNUAL CONF ON HIGH PERFORMANCE computing ( SUPERcomputing 91 )

作者： TOMKINS, JL VANDYKE, JP Sandia National Laboratories Parallel Computing Science Division 1424 P.O. Box 5800 Albuquerque New Mexico

ISBN: (纸本)0818691581

The Strategic Defense Initiative (SDI) mid-course tracking problem is a very computationally intensive problem that must be solved in real time. It is generally believed that a real-time solution is only possible through massively parallel computing. The authors discuss the implementation of the TRC code, a mid-course tracking code, on a 1024 processor nCUBE/ten computer. A brief discussion of the modeling approach used in the TRC is provided, together with a discussion of how the TRC was restructured to make it run efficiently in parallel. The performance of the parallel version of the TRC over a wide range of problem sizes is discussed, and results obtained on a Cray X-MP single processor are compared to the nCUBE/ten results. These results demonstrate the applicability of massively parallel MIMD computing to the SDI mid-course tracking problem.

关键词： Aerospace vehicle tracking

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Stepping stones to reproducible research: A study of current practices in parallel computing

Stepping stones to reproducible research: A study of current...

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Lecture Notes in Computer Science

作者： Carpen-Amarie, Alexandra Rougier, Antoine Lübbe, Felix D. Vienna University of Technology Institute of Information Systems Research Group Parallel Computing Favoritenstrasse 16/184-5 Vienna1040 Austria

ISBN: (纸本)9783319143248

Experimental research plays an important role in parallel computing, as in this field scientific discovery often relies on experimental findings, which complement and validate theoretical models. However, parallel hardware and applications have become extremely complex to study, due to their diversity and rapid evolution. Furthermore, applications are designed to run on thousands of nodes, often spanning across several programming models and generating large amounts of data. In this context, reproducibility is essential to foster reliable scientific results. In this paper we aim at studying the requirements and pitfalls of each stage of experimental research, from data acquisition to data analysis, with respect to achieving reproducible results. We investigate state-ofthe- art experimental practices in parallel computing by conducting a survey on the papers published in EuroMPI 2013, a major conference targeting the MPI community. Our findings show that while there is a clear concern for reproducibility in the parallel computing community, a better understanding of the criteria for achieving it is necessary. © Springer International Publishing Switzerland 2014.

关键词： Data acquisition

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Study on parallel computing

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Journal of Computer Science & Technology 2006年第5期21卷 665-673页

作者：陈国良孙广中张云泉莫则尧 Anhui Province-MOST Key Co-Lab of High Performance Computing and Its Applications Department of Computer Science and Technology University of Science and Technology of China Hefei 230027 P.R. China Laboratory of Parallel Computing Institute of Software Chinese Academy of Sciences Beijing 100080 P.R. China Laboratory of Computational Physics Institute of Applied Physics and Computational Mathematics Beijing 100088 P.R. China

In this paper, we present a general survey on parallel computing. The main contents include parallel computer system which is the hardware platform of parallel computing, parallel algorithm which is the theoretical base of parallel computing, parallel programming which is the software support of parallel computing. After that, we also introduce some parallel applications and enabling technologies. We argue that parallel computing research should form an integrated methodology of ＂architecture algorithm programming application＂. Only in this way, parallel computing research becomes continuous development and more realistic.

关键词： parallel computing parallel architecture parallel programming parallel algorithm parallel application

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SCIENTIFIC parallel computing WITH TRANSPUTER NETWORKS

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International Journal of High Speed computing 1989年第3期1卷 383-398页

作者： A. COSNUAU P. LECA ONERA Parallel Computing Subdivision B.P. 72 92322 Chatillon Cedex France

This paper describes research conducted at ONERA using the Transputer as building block for experimentation in the field of scientific multiprocessing. The first part describes our experimental systems based on T800–20 Transputers and gives performance measurements of some kernel operations. The second part is devoted to the implementation of two simulation codes on a network of forty Transputers. The first concerns a finite element dynamic analysis of a large scale structural problem. The aim is to compute the dynamic response of a clamped cylindrical beam subjected to a time dependent force. The second code simulates the behaviour of particles in an accelerator. This chromaticity correction code, called PATRICIA [17], has been adapted to our multi-Transputer system. All these experiments were conducted using OCCAM2, the parallel programming language of the Transputer.

关键词： Transputer distributed parallel architectures reconfigurable network simulation of particles preconditioned conjugate gradient method

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The development and operation of Edinburgh parallel computing Centre's Summer Scholarship Programme 94

The development and operation of Edinburgh Parallel Computin...

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Supercomputing Conference

作者： G.V. Wilson N.B. MacDonald C. Thornborrow C.M. Brough Edinburgh Parallel Computing Centre University of Edinburgh Edinburgh UK

ISBN: (纸本)9780818666056

Between 1987 and 1994, more than 100 students in a broad range of disciplines worked as summer scholars at Edinburgh parallel computing Centre. Many of these students have since taken their parallel computing skills into graduate work and industry, and over a quarter of EPCC's technical staff are alumni of the Programme. This report describes the evolution and present operation of the Summer Scholarship Programme, and its costs and benefits.< >

关键词： parallel processing Scholarships Recruitment Computer industry Industrial training Concurrent computing Programming profession Collaborative work Physics Adders

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