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检索条件"任意字段=Proceedings of the 1997 Conference on Advances in Parallel and Distributed Computing"

共 689 条记录，以下是121-130 订阅

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parallelization of Synthetic Aperture Radar (SAR) Image Formation Algorithm 1st

Parallelization of Synthetic Aperture Radar (SAR) Image Form...

引用

1st International conference on Computational Intelligence and Informatics (ICCII)

作者： Rao, P. V. R. R. Bhogendra Shashank, S. S. Def Res & Dev Lab Hyderabad Andhra Pradesh India BrahMos Aerosp Private Ltd Hyderabad Andhra Pradesh India

ISBN: (纸本)9789811024719;9789811024702

Synthetic aperture radar (SAR)-based platforms have to process increasingly large number of complex floating-point operations and have to meet hard real-time deadlines. However, real-time use of SAR is severely restricted by computation time taken for image formation. One of the classical methods of reducing this computation time to make it suitable for real-time application is multi-processing. A successful attempt has been made by the authors to develop and test a parallel algorithm for synthetic aperture radar image formation, and the results are presented in this paper.

关键词： Synthetic aperture radar SAR image formation Digital signal processing parallel computing distributed computing

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Designing an architecture for distributed shared data on the grid

Designing an architecture for distributed shared data on the...

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8th International conference on Algorithms and Architectures for parallel Processing

作者： Tudor, Dacian Cretu, Vladimir Schreiner, Wolfgang Politehn Univ Timisoara Dept Comp Sci & Engn Vasile Parvan St 2 Timisoara 300223 Romania Johannes Kepler Univ Linz RISC A-4040 Linz Austria

ISBN: (纸本)9783540695004

Despite the continuous advances of the last years in grid computing, the grid computing programming paradigms are dominated by the message passing concept. There is little support for other paradigms such as shared data or associative programming. In this paper we analyze some of the existing solutions for grid shared data programming and highlight some of their drawbacks. We propose a new architecture and its core features as well as new evaluation means of its behavior in various scenarios including the next generation grid systems. In addition to the simplicity of our solution, we believe that it would allow us to easily apply further extensions.

关键词： grid computing distributed shared data programming model

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Numerical Laplace transform solution method on a distributed memory architecture

Numerical Laplace transform solution method on a distributed...

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proceedings of the 1997 5th International conference on the Application of High-Performance Computers in Engineering, HPC

作者： Davies, A.J. Mushtaq, J. Radford, L.E. Crann, D. Univ of Hertfordshire Hatfield United Kingdom

The Laplace transform in time has been shown to provide an excellent alternative to the finite difference method for the solution of parabolic problems associated with partial differential equations. An implementation of the Laplace transform method in a parallel environment can provide a concurrent solution process with no communication overhead. The Laplace transform in time, when applied to the diffusion problem, results in a modified Helmholtz equation in the transform space. The diffusion problem is solved in a parallel environment in which the elliptic problem in transform space is solved using finite differences, finite elements, boundary elements, the method of fundamental solutions and Kansa's multiquadric method.

关键词： Laplace transforms

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A REVIEW OF LITERATURE IN distributed SUPPLY CHAIN SIMULATION

A REVIEW OF LITERATURE IN DISTRIBUTED SUPPLY CHAIN SIMULATIO...

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Winter Simulation conference

作者： Mustafee, Navonil Katsaliaki, Korina Taylor, Simon J. E. Univ Exeter Sch Business Ctr Innovat & Serv Res Exeter EX4 4ST Devon England Int Hellen Univ Sch Econ & Business Adm & Legal Studies Thessaloniki 57001 Greece Brunel Univ Dept Comp Sci Modelling & Simulat Grp Uxbridge UB8 3PH Middx England

ISBN: (纸本)9781479974863

M&S is a decision support technique that enables stakeholders to make better and more informed decisions;application of this to supply chains is referred to as supply chain simulation. The increasingly interconnected enterprise of the digital age benefit from cooperative decision making through the utilization of existing technological foundations, standards and tools (e.g., computer networks, data sharing standards, tools for collaborative working). distributed Supply Chain Simulation (DSCS) facilitates such collective decision making by enabling simulation models of individual business processes/organizations to execute cooperatively over a computer network. The aim of this research is to identifying the advances in DSCS and its present state of play. Towards realization of this aim we present a methodological review of literature and complement this with our domain-specific knowledge in supply chains and parallel and distributed simulation.

关键词： decision support systems digital simulation parallel processing production engineering computing supply chain management supply chains DSCS collective decision making computer network distributed simulation distributed supply chain simulation domain-specific knowledge literature review parallel simulation simulation models Adaptation models Bibliographies Computational modeling Data models Educational institutions Supply chains

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A distributed differential evolution approach for mapping in a Grid environment

A distributed differential evolution approach for mapping in...

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15th Euromicro International conference on parallel, distributed and Network-Based Processing

作者： De Falco, I. Scafuri, U. Tarantino, E. Della Cioppa, A. Natl Res Council Italy Inst High Performance Comp & Networking P Castellino 111 I-80131 Naples Italy Univ Salerno Natl Comp Lab DIIIE I-84084 Salerno SA Italy

ISBN: (纸本)9780769527840

Increase in intensive applications with different computational requirements, coupled with the unification of remote and diverse resources thanks to advances in the wide-area network technologies and the low cost of components, have-encouraged the development of grid computing. To exploit the promising potentials of geographically distributed resources, effective and efficient mapping algorithms are fundamental. Since the problem of optimally mapping is NP-complete, the development of evolutionary techniques to find near-optimal solutions is welcome. In this paper a distributed system based on Differential Evolution is designed and implemented to face the mapping problem in a gild environment aiming at reducing the degree of use of the grid resources. This system is tested on some different resource allocation scenarios.

关键词： distributed computer systems

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Future networking for scalable I/O

Future networking for scalable I/O

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IASTED International conference on parallel and distributed computing and Networks

作者： Chen, H Decker, J Bierbaum, N Sandia Natl Labs POB 969 Livermore CA 94550 USA

ISBN: (纸本)088986568X

Large clustered computers provide low-cost compute cycles, and therefore have promoted the development of sophisticated parallel-programming algorithms based on the Message Passing Interface. Storage platforms, however, fall to keep pace with similar advances. This paper compares standard 4X InfiniBand (IB) to 10-Gigabit Ethernet (GbE) for Use as a common storage infrastructure in addition to message passing. Considering IB's native ability to accelerate protocol processing in hardware, the Ethernet hardware in this study provided similar acceleration using TCP Offload Engines. We evaluated their I/O perfon-nance using the IOZONE benchmark on the iSCSI-based TerraGRID parallel filesystem. Our evaluations show that 10GbE, with or without protocol-offload, offered better throughput and latency than IB to socket-based applications. Although protocol-offload in both 10GbE and IB demonstrated significant improvement in I/O performance, large amount of CPU are still being consumed to handle the associated data-copies and interrupts. The emerging RDMA technologies hold promises to remove the remaining CPU overhead. We plan to continue our study to research the applications of RDMA in parallel I/O.

关键词： InfiniBand 10GbE TOE parallel I/O cluster HPC

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proceedings of the 1997 2nd High Performance computing on the Information Superhighway, HPC Asia'97

Proceedings of the 1997 2nd High Performance Computing on th...

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proceedings of the 1997 2nd High Performance computing on the Information Superhighway, HPC Asia'97

The proceedings contains 137 papers on High Performance computing on the Information Superhighway. Topics discussed include: stock processors;multithreaded parallel machines;Hamiltonian cycles;hypercube graphs;distributed shared memory;doubly chordal graphs;three dimensional virtual space;voronoi diagram;computed tomography;hierarchical bus based systems;homogenization method;task parallel language;single program multiple data;process communication graph;visual programming;tracing systems;workstation clustering;Crout factorization;hybrid full map directory schemes;geostationary satellites;and multistage interconnection networks.

关键词： parallel processing systems

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Context-Aware Recruitment Scheme for Opportunistic Mobile Crowdsensing 21

Context-Aware Recruitment Scheme for Opportunistic Mobile Cr...

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21st IEEE International conference on parallel and distributed Systems ICPADS

作者： Hassani, Alireza Haghighi, Pari Delir Jayaraman, Prem Prakash Monash Univ Fac Informat Technol Melbourne Australia RMIT Univ Sch Informat Technol & Comp Sci Melbourne Australia

ISBN: (纸本)9780769557854

The ubiquity of mobile devices coupled with the advances in Internet of Things (IoT) technologies has led to the development of large-scale applications that can collect information about people and their environments in real-time. Such applications are referred to as Mobile Crowdsensing (MCS). In MCS, tasks are allocated to participants (mobile devices) by a remote server according to the application requirements. The key challenge is reducing the energy consumption of the participating mobile devices. One of the effective approaches to reduce energy consumption of MCS applications is to improve efficiency of task allocation. An efficient task allocation approach can optimize several aspects of MCS applications such as task coverage (minimum number of participants required for a MCS task), data quality, and sensing costs. In this paper, we propose a novel Context-Aware Task Allocation (CATA) approach that aims to allocate sensing tasks to the best participant set while improving energy efficiency in MCS applications. Another important feature of the proposed CATA approach is that it preserves the privacy of participants' by only disclosing the less sensitive data to the server. The proposed approach employs local and global task allocation methods to enable two levels of data sharing and privacy. We describe the series of experiments that were conducted to validate our proposed approach in terms of coverage and efficiency.

关键词： Mobile computing Mobile Crowdsensing Context-aware systems energy-efficiency Opportunistic sensing

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Adaptive load-balancing algorithms using symmetric broadcast networks: Performance study on an IBM SP2

Adaptive load-balancing algorithms using symmetric broadcast...

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proceedings of the 1997 International conference on parallel Processing

作者： Das, Sajal K. Harvey, Daniel J. Biswas, Rupak Univ of North Texas Denton United States

In a distributed-computing environment, it is important to ensure that the processor workloads are adequately balanced. Among numerous load-balancing algorithms, a unique approach due to Das and Prasad defines a symmetric broadcast network (SBN) that provides a robust communication pattern among the processors in a topology-independent manner. In this paper, we propose and analyze three SBN-based load-balancing algorithms, and implement them on an SP2. A thorough experimental study with Poisson-distributed synthetic loads demonstrates that these algorithms are very effective in balancing system load while minimizing processor idle time. They also compare favorably with several existing techniques.

关键词： parallel processing systems

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A Fuzzy Clustering Method to Minimize the Inter Task Communication Effect for Optimal Utilization of Processor's Capacity in distributed Real Time Systems 1

引用

International conference on Soft computing for Problem Solving (SocProS 2011)

作者： Yadav, P. K. Pradhan, P. Singh, Preet Pal Cent Buildingn Res Inst Roorkee Uttar Pradesh India Gurkula Kangri Vishwavidyalaya Dept Math & Stat Haridwar India

ISBN: (数字)9788132204879

ISBN: (纸本)9788132204862

A distributed processing System is a collection of heterogeneous processors which requires systematic assignment of a set of "m" tasks T = {t(1), t(2) ... t(m)} of a program to a set of "n" processors P = {p(1), p2 ... p(n)}, (where, m >> n) to achieve the efficient utilization of available processor's capacity. If this step is not performed properly, an increase in the number of processors may actually result in a decrease in the total system throughput. The Inter-Task Communication (ITC) time is always the most costly and the least reliable factor in distributed processing environment. This paper deals a heuristic task allocation model which performs the proper allocation of task to most suitable processor to get an optimal solution. A fuzzy membership functions is developed for making the clusters of tasks with the constraints to maximize the throughput and minimize the parallel execution time of the system.

关键词： Inter Task Communication Time Execution Time distributed Real Time System Fuzzy Membership

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