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检索条件"机构=Distributed and High Performance Computing Research Group Department of Computer Science"

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Lattice Boltzmann Algorithms for Fluid Turbulence

Lattice Boltzmann Algorithms for Fluid Turbulence

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DoD high performance computing Modernization Program Users group

作者： G. Vahala J. Yepez M. Soe L. Vahala S. Ziegeler Department of Physics The College of William and Mary Williamsburg VA USA U.S. Air Force Research Laboratory MA USA US Air Force Research Laboratory (AFRL) Hanscom Field MA Department of Mathematics and Science Rogers State University Claremore OK USA Department of Electrical & Computer Engineering Old Dominion University Norfolk VA USA High Performance Computing Modernization Program Mississippi State University MS

Lattice Boltzmann algorihms are a mesoscopic representation of nonlinear continuum physics (like Navier-Stokes, magnetohydro dynamics (MHD), Gross- Pitaevskii equations) which are ideal for parallel supercomputers because they transform the difficult nonlinear convective macroscopic derivatives into purely local moments of distribution functions. The macroscopic nonlinearities are recovered by relaxation distribution functions in the collision operator whose dependence on the macroscopic velocity is algebraically nonlinear and thus purely local. Unlike standard computational fluid dynamics codes, there is no loss in parallelization in handling arbitrary geometric boundaries, e.g., using bounce-back rules from kinetic theory. By encoding detailed balance into the collision operator through the introduction of discrete H-function, the lattice Boltzmann algorithm can be made unconditionally stable for arbitrary high Reynolds numbers. It is shown that this approach is a special case of a quantum lattice Boltzmann algorithm that entangles local qubits through unitary collision operators and which is ideally parallelized on quantum computer architectures. Here we consider turbulence simulations using 2,048 PEs on a 1,6003-spatial grid. A connection is found between the rate of change of enstrophy and the onset of laminar-to- turbulent flows.

关键词： Lattice Boltzmann methods Magnetohydrodynamics Distribution functions Quantum computing Quantum entanglement Physics Fluid dynamics Navier-Stokes equations Nonlinear equations Supercomputers

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Web Services Interfaces and Open Standards Integration into the European UNICORE 6 Grid Middleware

Web Services Interfaces and Open Standards Integration into ...

引用

International Workshop on Enterprise distributed Object computing, EDOCW

作者： M. Riedel B. Schuller D. Mallmann R. Menday A. Streit B. Tweddell M. Shahbaz Memon A. Shiraz Memon B. Demuth T. Lippert D. Snelling S. van den Berghe V. Li M. Drescher A. Geiger G. Ohme A. Vanni C. Cacciari S. Lanzarini P. Malfetti K. Benedyczak P. Bala R. Ratering A. Lukichev Central Institute for Applied Mathematics John von Neumann Institute of Computing Forschungszentrum Julich Julich Germany John von Neumann Inst. for Comput. Forschungszentrum Julich Central Inst. for Appl. Math. Julich Fujitsu Laboratories Limited Hayes UK Solutions for Research T-Systems Corporation Wessling Germany High Performance Computing Department CINECA Bologna Italy Faculty of Mathematics and Computer Science Torun Nicolaus Copernicus University Torun Poland Software and Solutions Group Intel Corporation Bruhl Germany

The UNICORE grid system provides a seamless, secure and intuitive access to distributed grid resources. In recent years, UNICORE 5 is used as a well-tested grid middleware system in production grids (e.g. DEISA, D-Grid) and at many supercomputer centers world-wide. Beyond this production usage, UNICORE serves as a solid basis in many European and International research projects and business scenarios from T-Systems, Philips research, Intel, Fujitsu and others. To foster ongoing developments in multiple projects, UNICORE is open source under BSD license at SourceForge. More recently, the new Web services-based UNICORE 6 has become available that is based on open standards such as the Web services addressing (WS-A) and the Web services resource framework (WS-RF) and thus conforms to the open grid services architecture (OGSA) of the open grid forum (OGF). In this paper we present the evolution from production UNICORE 5 to the open standards-based UNICORE 6 and its various Web services-based interfaces. It describes the interface integration of emerging open standards such as OGSA-BES and OGSA-RUS and thus provides an overview of UNICORE 6.

关键词： Web services Middleware Service oriented architecture Space technology Mathematics Grid computing high performance computing Supercomputers Production facilities Paramagnetic resonance

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GridBeans: Supporting e-science and grid applications

GridBeans: Supporting e-Science and grid applications

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e-science 2006 - 2nd IEEE International Conference on e-science and Grid computing

作者： Ratering, Ralf Lukichev, Alexander Vanni, A. Cacciari, C. Lanzarini, S. Bala, Piotr Riedel, Morris Mallmann, Daniel Benedyczak, K. Borcz, M. Kluszcynski, R. Ohme, Gert Software and Solutions Group Intel Corporation High Performance Computing Department CINECA Italy Interdiscipl. Center for Mathem. and Comp. Modelling Warsaw University Poland Central Institute of Applied Mathematics Research Centre Juelich Germany Faculty of Mathematics and Computer Science Torun Nicolaus Copernicus University Poland Solutions for Research T-Systems Corporation

ISBN: (纸本)0769527345

Large-scale scientific research often relies on the collaborative use of Grid and e-science infrastructures that provide computational or storage related resources. One of the ideas of these modern infrastructures is to facilitate the routine interaction of scientists and their workflows with advanced problem solving tools and computational resources. While many production Grid projects and e-science infrastructures have begun to offer services for the usage of resources to end-users during the past several years, the corresponding emerging standards defined by GGF and OASIS still appear to be in flux. In this paper, we present the GridBean technology that bridges the gap between the constantly changing basic Grid or e-science infrastructures and the need of stable application development environments for the Grid users. © 2006 IEEE.

关键词： Grid computing

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Adaptive Batching for Replicated Servers

Adaptive Batching for Replicated Servers

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Reliable distributed Systems

作者： Roy Friedman Erez Hadad Computer Science Department Technion - Israel Institute of Technology Haifa Israel Distributed Computing Systems Group IBM Haifa Research Lab Haifa Israel

This paper presents two novel generic adaptive batching schemes for replicated servers. Both schemes are oblivious to the underlying communication protocols. Our novel schemes adapt their batching levels automatically and immediately according to the current communication load. This is done without any explicit monitoring or calibration of the system. Additionally, the paper includes a detailed performance evaluation

关键词： Delay Throughput Monitoring Protocols Costs Computational efficiency Bandwidth computer science Calibration distributed computing

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GridBeans: Support e-science and Grid Applications

GridBeans: Support e-Science and Grid Applications

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IEEE International Conference on e-science and Grid computing

作者： Ralf Ratering Alexander Lukichev Morris Riedel Daniel Mallmann A. Vanni C. Cacciari S. Lanzarini K. Benedyczak M. Borcz R. Kluszcynski Piotr Bala Gert Ohme Software and Solutions Group Intel Corporation USA Research Centre Juelich Central Institute of Applied Mathematics Germany High Performance Computing Department CINECA Italy Faculty of Mathematics and Computer Science Torun Nicolaus Copernicus University Poland Interdiscipl. Center for Mathem. and Comp Modelling Warsaw University of Technology Poland Solutions for Research T-Systems Corporation USA

关键词： Grid computing Web services Quantum computing Standards development Application software Mathematics high performance computing International collaboration Middleware Standards organizations

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Implementation and evaluation of a Java based computational grid for bioinformatics applications

Implementation and evaluation of a Java based computational ...

引用

19th International Conference on Advanced Information Networking and Applications, AINA 2005

作者： Yang, Chao-Tung Hsiung, Yi-Chun Kan, Heng-Chuan High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung City 40704 Taiwan Biotechnology Group South Region Office National Center for High-performance Computing Hsinshi Tainan County 744 Taiwan

ISBN: (纸本)0769522491

In the present study, THUBioGrid, an experimental distributed computing application for bioinformatics (BioGrid) is proposed. THUBioGrid incorporates directory services (data and software), grid computing methods (security, authentication, data transport and remote jobs), and gene sequence/genomic data processing methods. It uses Java CoG Kit plus bioinformatics Java packages to perform various computational tasks. The performance of THUBioGrid has been tested by executing the FASTA and mpiBLAST programs for protein sequence alignment applications. Results demonstrate the speed-up effects with increasing number of processors used in the computations. © 2005 IEEE.

关键词： Biomedical engineering

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performance analysis of applying replica selection technology for Data Grid environments

Performance analysis of applying replica selection technolog...

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8th International Conference on Parallel computing Technologies, PaCT 2005

作者： Yang, Chao-Tung Chen, Chun-Hsiang Li, Kuan-Ching Hsu, Ching-Hsien High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung 40704 Taiwan Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung 43301 Taiwan Department of Computer Science and Information Engineering Chung Hua University Hsinchu 300 Taiwan

The Data Grid enables the sharing, selection, and connection of a wide variety of geographically distributed computational and storage resources for solving large-scale data intensive scientific applications. Such technology efficiently manage and transfer terabytes or even petabytes of data for data-intensive, high-performance computing applications in wide-area, distributed computing environments. Replica selection process allows an application to choose a replica from replica catalog, based on its performance and data access features. In this paper, we build a Grid environment based on three existing PC Cluster environments and perform performance analysis of data transfers using GridFTP protocol over these systems. In addition, based on experimental results, it is proposed a cost model to pick the best replica, in real and dynamic network situations. © Springer-Verlag Berlin Heidelberg 2005.

关键词： distributed computer systems

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A chronological history-based execution time estimation model for embarrassingly parallel applications on grids

A chronological history-based execution time estimation mode...

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3rd International Symposium on Parallel and distributed Processing and Applications, ISPA 2005

作者： Yang, Chao-Tung Shih, Po-Chi Lin, Cheng-Fang Hsu, Ching-Hsien Li, Kuan-Ching High Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung 40704 Taiwan Department of Computer Science and Information Engineering Chung Hua University Hsinchu 300 Taiwan Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung 43301 Taiwan

ISBN: (纸本)3540297693

In order to identify and schedule jobs that are suitable for determined resources, an execution time estimation model is required. In this paper, it is described a Chronological history-based execution time estimation model to predict current execution time, according to the previous execution results. We built a heterogeneous computational Grid environment using Globus Toolkit, and our research is focused in Grid computing environments and to execute parallel jobs on multiple resources by measuring its accuracy. The experimental results shown that our model can accurately predict the execution time of embarrassingly parallel applications. © Springer-Verlag Berlin Heidelberg 2005.

关键词： distributed computer systems

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Visuel: A novel performance monitoring and analysis toolkit for cluster and grid environments

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6th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP

作者： Li, Kuan-Ching Cheng, Hsiang-Yao Yang, Chao-Tung Hsu, Ching-Hsien Wang, Hsiao-Hsi Hsu, Chia-Wen Hung, Sheng-Shiang Chang, Chia-Fu Liu, Chun-Chieh Pan, Yu-Hwa Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung 43301 Taiwan High Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung 40704 Taiwan Department of Computer Science and Information Engineering Chung Hua University Hsinchu 300 Taiwan

ISBN: (纸本)3540292357

The computing power provided by high performance low-cost PC-based Cluster and Grid platforms are attractive, and they are equal or superior to supercomputers and mainframes widely available. In this research paper, we present the design rationale and implementation of Visuel, a toolkit for performance measurement and analysis of MPI parallel programs and real time resources monitoring in cluster and grid computing environments. The proposed toolkit is web-based interface to show performance activities of all computing nodes involved in the execution of a MPI parallel program, such as CPU and memory usage levels of each computing node, and monitors all computing nodes of a computing platform by displaying real time performance data. In addition, this toolkit is able to display comparative performance data charts of multiple executions of MPI parallel application under investigation, which facilitates the "what-if" analysis. The usage of this toolkit shows that it outperforms in easing the process of investigation of parallel applications. © Springer-Verlag Berlin Heidelberg 2005.

关键词： distributed computer systems

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Efficient subtorus processor allocation in a multi-dimensional torus

Efficient subtorus processor allocation in a multi-dimension...

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8th International Conference on high-performance computing in Asia-Pacific Region, HPC Asia 2005

作者： Mao, Weizhen Chen, Jie Watson III, William Department of Computer Science College of William and Mary Williamsburg VA 23187-8795 United States High Performance Computing Group Jefferson Lab Newport News VA 23606 United States

ISBN: (纸本)0769524869

Processor allocation in a mesh or torus connected multicomputer system with up to three dimensions is a hard problem that has received some research attention in the past decade. With the recent deployment of multicomputer systems with a torus topology of dimensions higher than three, which are used to solve complex problems arising in scientific computing, it becomes imminent to study the problem of allocating processors of the configuration of a torus in a multi-dimensional torus connected system. In this paper, we first define the concept of a semitorus. We present two partition schemes, the Equal Partition (EP) and the NonEqual Partition (NEP), that partition a multi-dimensional semitorus into a set of sub-semitori. We then propose two processor allocation algorithms based on these partition schemes. We evaluate our algorithms by incorporating them in commonly used FCFS and backfilling scheduling policies and conducting simulation using workload traces from the Parallel Workloads Archive. Specifically, our simulation experiments compare four algorithm combinations, FCFS/EP, FCFS/NEP, backfilling/EP, and backfilling/NEP, for two existing multi-dimensional torus connected systems. The simulation results show that our algorithms (especially the backfilling/NEP combination) are capable of producing schedules with system utilization and mean job bounded slowdowns comparable to those in a fully connected multicomputer. © 2005 IEEE.

关键词： Storage allocation (computer)

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