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检索条件"主题词=Data Flow Computing"

共 877 条记录，以下是331-340 订阅

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A Trust Based Information Dissemination Model for Evaluating the Effect of Deceptive data

A Trust Based Information Dissemination Model for Evaluating...

引用

Annual Hawaii International Conference on System Sciences (HICSS)

作者： Yi Hu Zhichun Xiao Brajendra Panda Computer Science and Computer Engineering Department University of Arkansas AR USA

This research studies the problem of evaluating the effect of deceptive data based on the information flow network and the Web of trust. We present an information dissemination model that illustrates the prerequisite for dissemination of information based on the subject and object trusts. To evaluate the effects of deceptive data accurately, we offer a quantitative model that is utilized to calculate to what extent the subjects in the information flow network are affected. The algorithm for evaluating the spread of deceptive data is provided and the time complexity of the algorithm is also analyzed

关键词： Personnel Computer science Computer networks data flow computing data engineering Information analysis Algorithm design and analysis Humans Semantic Web Cities and towns

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data access reorganizations in compiling out-of-core data parallel programs on distributed memory machines

Data access reorganizations in compiling out-of-core data pa...

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International Symposium on Parallel Processing

作者： M. Kandemir R. Bordawekar A. Choudhary CIS Department Syracuse University Syracuse NY USA CACR Caltech Pasadena CA USA ECE Department Northwestern University Evanston IL USA

This paper describes optimization techniques for translating out-of-core programs written in a data parallel language to message passing node programs with explicit parallel I/O. We demonstrate that straightforward extension of in-core compilation techniques does not work well for out-of-core programs. We then describe how the compiler can optimize the code by (1) determining appropriate file layouts for out-of-core arrays, (2) permuting the loops in the nest(s) to allow efficient file access, and (3) partitioning the available node memory among references based on I/O cost estimation. Our experimental results indicate that these optimizations can reduce the amount of time spent in I/O by as much as an order of magnitude.

关键词： Concurrent computing data flow computing Program processors Computational Intelligence Society Message passing Optimizing compilers Cost function Parallel machines Large-scale systems Physics computing

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Rate-optimal static scheduling for DSP data flow graphs onto multiprocessors

Rate-optimal static scheduling for DSP data flow graphs onto...

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IEEE Pacific Rim Conference on Communications, Computers and Signal Processing

作者： A. Shatnawi M.O. Ahmad M.N.S. Swamy Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada Department of Electrical Engineering City University of New York New York NY USA

This paper is concerned with finding a rate-optimal compile-time (static) scheduling of data flow graphs (DFGs) onto multiprocessor systems. A new analytical approach is proposed to produce a rate-optimal time schedule for a fully specified DFG. In this approach, the DFG is transformed into an acyclic graph through a sequence of circuit contractions. An algorithm to contract a circuit as well as an algorithm to achieve a time scheduling of the given DFG are given. In the scheduling algorithm, the resulting acyclic graph is scheduled followed by a scheduling of the circuits in an order which is reverse to that of their contraction. Further, the issues related to optimizing the schedule in terms of the I/O delay and the number of processors needed, are addressed.

关键词： Digital signal processing flow graphs Processor scheduling data flow computing Circuits Signal processing algorithms Parallel processing Delay effects Computer applications Multiprocessing systems

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A Model for the Transmission of Multimedia data flow Based on the Use of Shared Memory Mechanism

A Model for the Transmission of Multimedia Data Flow Based o...

引用

International Conference on Advanced Information Networking and Applications Workshops (AINAW)

作者： André Gustavo P. da Silva Adilson B. Lopes Felipe A.P. Pinto Carlos Eduardo da Silva DI-Natal UERN DIMAp UFRN Brazil DIMAp UFRN Computing Laboratory University of Kent

The communication between multimedia components located on the same physical machine, but in different address space, uses mechanisms designed for distributed environments. The present paper proposes an inter-component communication model in this context through the use of a shared memory mechanism. This model is based on the shared memory primitives offered by different operating systems. The model can be used in different middleware platforms. To evaluate the model, an application written in Java was developed, that, through functions written in C language, has access to the primitives of manipulation of the shared address space.

关键词： Middleware Multimedia systems Streaming media Multimedia computing Quality of service Testing Space technology Computer networks data flow computing Distributed computing

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Architecture of DFC-1 computer with data driven computation model

Architecture of DFC-1 computer with data driven computation ...

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International Symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： Liberios Vokorokos Branislav Mados Jan Perhac Martin Chovanec Department of Computers and Informatics Technical University of Košice Kosice Slovakia

In this paper we describe basic architecture and implementation details of DFC-1 research prototype of computer with data driven computation model. The use of Xilinx Spartan 3 PCIe Starter Board FPGA design board and WebPack ISE and ModelSim development software is discussed. DFC-1 computer is in development at the Department of Computers and Informatics, Technical University of Kosice in terms of VEGA project No. 1|4071|07.

关键词： Computer architecture Computational modeling Parallel processing Informatics Concurrent computing Floods Communication system control Software prototyping data flow computing Digital signal processing

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data distribution considered communication flow in network using genetic algorithm

Data distribution considered communication flow in network u...

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International Conference on Knowledge-Based Intelligent Electronic Systems (KES)

作者： Y. Tsujimura S. Ko M. Gen Department of Industrial and Systems Engineering Ashikaga Institute of Technology Ashikaga Japan

The use of distributed computer systems has been increasing in many areas of industry, government, and academia. Advances in computer and communication technologies, such as the Internet, have contributed to the establishment of widespread and reasonably priced value added networks. The computer systems can be categorized into five classes according to each performance. Also, a large sized database is divided into small sized data files to be distributed at each proper sites. We deal with the optimal design of the distributed computer system design problem for selecting a proper class of computer for each location and for allocating data files. The optimization model for the location of computer and data files on a value added network is solved by using the genetic algorithm.

关键词： Intelligent networks Genetic algorithms Distributed computing Computer networks data communication Communication industry Computer industry data flow computing Distributed databases Mathematical model

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NIST smart data flow system II - speaker localization

NIST smart data flow system II - speaker localization

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International Symposium on Information Processing in Sensor Networks (IPSN)

作者： Antoine Fillinger Lukas Diduch Imad Hamchi Stephane Degre Vincent Stanford National Institute of Standards and Technology (NIST) Gaithersburg MD USA

Multimodal applications require the acquisition and processing of massive amounts of information from multiple sensors. Because this process is beyond the capabilities of a single machine, we developed a sensor network data transport system that can employ the numerous computing devices required to perform the task. The computational and data acquisition processes are thus allocated to components spread across a network of systems. We present the NIST Smart data flow System II, which is a middleware layer that represents applications as data flow graphs, and transports information streams between the different computational components of the application.

关键词： NIST Application software Intelligent sensors data flow computing Computer networks Microphone arrays Java Sensor arrays Face detection Multimodal sensors

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A sustainable data center with heat-activated cooling

A sustainable data center with heat-activated cooling

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Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITHERM)

作者： Anna Haywood Jon Sherbeck Patrick Phelan Georgios Varsamopoulos Sandeep K. S. Gupta School of Mechanical Aerospace Chemical & Materials Engineering Arizona State University Tempe AZ USA National Center of Excellence on SMART Innovations Arizona State University Tempe AZ USA School of Computing Informatics and Decision Systems Engineering Computer Science and Engineering Arizona State University Tempe AZ USA

Technological and economic trends in data centers push toward facilities operated at higher ambient temperatures and at higher power densities to meet ever-increasing computational demands. Conventionally, data centers are cooled with vapor-compressor equipment which requires extra power to be driven. This paper proposes an alternative and sustainable data center cooling architecture that is heat driven. The thermal source is the heat produced by the data center room's equipment. A major challenge is providing both enough cooling to the data center and enough exergy to drive the cooling process, regardless of the thermal output of the data center equipment. This challenge is addressed by the use of organic heat storage and a sustainably powered (i.e. solar-powered) heat source, leading potentially to a PUE (Power Usage Effectiveness) value of less than one.

关键词： Cooling Space heating Heat pumps data flow computing High performance computing Thermal loading Poles and towers data engineering Energy storage Aerospace materials

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Beyond the data parallel paradigm: issues and options

Beyond the data parallel paradigm: issues and options

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Programming Models for Massively Parallel Computers

作者： G.R. Gao V. Sarkar L.A. Vazquez School of Computer Science McGill University Montreal Canada IBM Santa Teresa Laboratory San Jose CA USA CRAAG IBM Argentina Ing. Buenos Aires Argentina

Currently, the predominant approach in compiling a program for parallel execution on a distributed memory multiprocessor is driven by the data parallel paradigm, in which user-specified data mappings are used to derive computation mappings via ad hoc rules such as owner-computes. We explore a more general approach which is driven by the selection of computation mappings from the program dependence constraints, and by the selection of dynamic data mappings from the localization constraints in different computation phases of the program. We state the optimization problems addressed by this approach and outline the solution methods that can be used. We believe that this approach provides promising solutions beyond what can be achieved by the data parallel paradigm. The paper outlines the general program model assumed for this work, states the optimization problems addressed by the approach and presents solutions to these problems.< >

关键词： flow graphs Concurrent computing Distributed computing Optimization methods Parallel languages Computer science Laboratories Tree graphs data flow computing

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Parallel FDTD Computations Optimized by Program Macro data flow Graph Redeployment

Parallel FDTD Computations Optimized by Program Macro Data F...

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International Conference on Parallel computing in Electrical Engineering (PARLEC)

作者： A. Smyk M. Tudruj Polish Japanese Institute of Information Technology Warsaw Poland Institute of Computer Science Polish Academy of Sciences Warsaw Poland

In this paper, we present and compare two methods for designing and profiling macro data flow graphs, which represent computation and communication patterns for the FDTD (finite difference time domain) problem in irregular computational areas. With the first method, optimized macro data flow graphs (MDFG) for FDTD computations are generated in three main phases: generation of initial MDFG based on wave propagation area partitioning, MDFG nodes merging with load balancing to obtain given number of macro nodes and communication optimization to minimize and balance internode data transmissions. With the second method, we use a modified CDC (connectivity-based distributed node clustering) algorithm to create an optimized macro data flow graph. The efficiency and execution time for both of these methods are compared. Computation efficiency for different several communication systems (MPI, RDMA RB, SHMEM) is discussed. All presented experimental results have been obtained by simulation

关键词： data flow computing Finite difference methods Time domain analysis Concurrent computing flow graphs Optimization methods Design methodology Merging Load management data communication

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