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检索条件"主题词=Data Flow Computing"

共 877 条记录，以下是321-330 订阅

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A high performance continuous data flow filter using sliding discrete Fourier transform (DFT) and one point inverse DFT

A high performance continuous data flow filter using sliding...

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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： Wen Zhuo E. Micheli-Tzanakou Department of Biomedical Engineering Rutgers University Piscataway NJ USA

This paper presents a high performance frequency domain filter implementation for a moving window-type processing. The computational structure consists of three stages: a sliding discrete Fourier transform (SDFT) for a vectorized updating of the DFT; a frequency domain filter; and a one-point inverse discrete Fourier transform (IDFT). The total computation required for generating one filtered output point is 2/spl times/N multiplications (N is the frequency window length) and 3/spl times/N additions compared to 2/spl times/N/spl times/log/sub 2/N multiplications and additions if using FFT and IFFT. The proposed structure also has the advantage of being parallel in nature and can be used in various real-time frequency processing, continuous data flow, single or multiple channel applications.

关键词： Discrete Fourier transforms Filters Fourier transforms Equations Frequency domain analysis Signal processing algorithms data flow computing data engineering Electronic mail Field-flow fractionation

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Mapping Of Micro data flow Computations Onto Parallel Microarchitectures

Mapping Of Micro Data Flow Computations Onto Parallel Microa...

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Annual Workshop on Microprogramming and Microarchitecture

作者： Liwen Shih C.A. Papachristou Computer Engineering & Science Department Case Western Reserve University Cleveland OH USA

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Adaptive simulation: dynamic data driven application in geophysical mass flows

Adaptive simulation: dynamic data driven application in geop...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： M.D. Jones A.K. Patra K. Dalbey E.B. Pitman A.C. Bauer Center for Computational Research State University of New York Buffalo NY USA Department of Mechanical and AeroSpace Engineering State University of New York Buffalo NY USA Department of Mathematics State University of New York Buffalo NY USA Scientific Computation Research Center Rensselaer Polytechnic Institute Troy NY USA

The ability to dynamically change data input to a computation is a key feature enabling simulation to be used in many applications. In this study, computation of geophysical mass flow is updated on the fly by changing terrain data. Accommodating such changes in a parallel environment entails new developments in parallel data management and gridding. Adaptivity, and in particular unrefinement, is critical for maintaining parallel efficiency. The application under study in this work is the result of a multidisciplinary collaboration between engineers, mathematicians, geologists, and hazard assessment personnel. In addition, adaptive gridding enables efficient use of computational resources, allowing for run-time determination of optimal computing resources. Combining these attributes allows run time conditions to inform calculations, which in turn provide up-to-date information to hazard management personnel.

关键词： Geophysics computing Computational modeling Hazards Personnel Grid computing data flow computing Environmental management Collaborative work Maintenance engineering Geology

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data flow architecture for the parallel implementation of the functional language

Data flow architecture for the parallel implementation of th...

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International Conference on Information, Communications and Signal Processing

作者： M. Jelsina P. Krahulik M. Legnavsky Faculty of Electrical Engineering and Informatics Department of Computers and Informatics Technical University of Kosice Kosice Slovakia

data now (DF) architecture resulting from the DF program representation by the functional language being developed at the Department of Computers and Informatics is proposed in the paper. The contribution is concentrated to the efficient implementation of functional language in the DF architecture supporting the idea of the programming parallel problems by specification and transformation using mathematical methods. The combination of a local control flow with a global data flow model in the proposed DF architecture is connected with the direct operand matching mechanism using matching vectors. The concepts of the data flow graph representation using the functional language, the approaches to the parallel execution of the functional program in the data now implementational environment and the DF architecture layout are presented in the paper. It is supposed that the hardware implementation of the architecture can be used as a specialised accelerator in problem-oriented computer systems with high requirements on the operation speed.

关键词： Computer architecture Informatics data flow computing flow graphs Computer aided instruction Electronic mail Functional programming Mathematical programming Parallel programming Hardware

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Dynamic resource assignment using network flows in wireless data networks

Dynamic resource assignment using network flows in wireless ...

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IEEE Conference on Vehicular Technology (VTC)

作者： O. Koyuncu S.K. Das H. Ernam Center for Research in Wireless Computing (CReW) Department of Computer Science University of North Texas Denton TX USA Wireless System Engineering Nortel Richardson TX USA

The radio frequency spectrum, a scarce resource in mobile communications, has to be efficiently utilized with the objective of increasing the network capacity and minimizing the interference. A variety of channel assignment strategies have been developed to achieve these objectives. Not only the mobility of the wireless user but also different types of wireless multimedia services create uncertainty in demand and non-optimum use of radio resources. As the cell sizes get smaller, there is a greater need for efficient channel assignment algorithms which are desired to dynamically balance the load of the system by performing reassignments when needed. Static schemes are no longer desirable for small cell systems under heavy and non-uniform multi-rate traffic. We propose a dynamic multi-channel assignment algorithm where the assignment decision is assisted by the mobiles. Our algorithm is based on the concept of network flows, which provide us with the framework to uniformly handle all the events occurring in the system including possible degradation and improvement of the existing assignments. This model enables fast local computations and avoids global reconfiguration which prevent other algorithms being practical.

关键词： Intelligent networks Interference Computer networks Radio frequency Mobile communication Heuristic algorithms Degradation Costs data flow computing Computer science

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APAP: a computer-based tool for analyzing data flow in arithmetic pipelines

APAP: a computer-based tool for analyzing data flow in arith...

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Frontiers in Education (FIE) Conference

作者： J. Carpinelli C.-C. Lin M. Singh Dept. of Electr. Eng. New Jersey Inst. of Technol. Newark NJ USA Electrical Engineering New Jersey Institute of Technology Newark NJ USA Electrical Engineering California State University Long Beach CA USA

The arithmetic pipeline analysis package (APAP), an interactive PC-based software package for simulating data flow within an arithmetic pipeline, is described. The package is designed for use by undergraduate and graduate students with background in computer architecture and parallel processing. It allows the student to design hardware and analyze its functionality without building the circuit. In addition, APAP shows detailed data flow which makes it easy for the student to envision exactly how the pipeline works. The main simulation process used follows five major steps: construction of the arithmetic pipeline, specification of pipeline connections, definition of the reservation table, definition of the input data, and calculation and presentation of data flow. In order to provide the student with a detailed data flow to further understand the entire operating condition, APAP allows the student to choose between a flow diagram, flow table, or flow analysis trace to analyze the results.< >

关键词： data flow computing data analysis Digital arithmetic Pipelines Software packages Packaging Computational modeling Circuit simulation Analytical models Computer architecture

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Performance evaluation using data flow graphs for concurrent processing

Performance evaluation using data flow graphs for concurrent...

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IEEE International Conference on Systems, Man and Cybernetics

作者： D.Y. Chao D.T. Wang Institute for Integrated Systems Research Department of Computer and Information Science New Jersey Institute of Technology Newark NJ USA

The authors present a systematic procedure to find the exact iteration bound for an arbitrary nonterminating data flow graph (DFG). The complexity of the procedure to identify the critical loop and the iteration bound is O(n/sup 3/ log n), where n is the number of nodes in the DFG. Lookahead is another technique to enhance concurrency. It inserts delays in the critical loop of the DFG, resulting in better performance than the iteration bound. To achieve the maximum degree of improvement it is further necessary to identify the next-critical loop. A method to identify the next-critical loop of a nonterminating DFG is also presented.< >

关键词： flow graphs Processor scheduling data flow computing Concurrent computing Chaos Information science System performance Parallel processing Delay effects

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A technique to derive time costs of data flow programs

A technique to derive time costs of data flow programs

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International Phoenix Conference on Computers and Communications (IPCCC)

作者： B. Qin R.A. Ammar H.A. Sholl Computer Science & Engineering Department University of Connecticut Storrs CT USA

The authors present a technique for analyzing the time cost behavior of data-flow programs that are loop free or contain non tested loops that meet certain constraints. It is assumed that the underlying computer system is a dynamic data-flow computer which has sufficient processors to support the execution of data-flow programs. The token model is modified to describe both the execution and time cost behavior. The technique is similar to some flow-analysis and graph-reduction techniques. In analyzing the time cost of a data-flow program, the technique first determines the number of tokens that pass through each edge in the program. All nodes that are neither input nor output nodes are then deleted. Every time a node or an edge is deleted, the time cost associated with it is properly distributed within the program. Since the resultant program only contains edges that connect input and output nodes, the time cost of the program can be easily obtained. Two examples are given to show the use of the technique.< >

关键词： Costs data flow computing Parallel processing Computer science data engineering Pipelines System performance Fluid flow measurement Performance analysis

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Evaluation of static program allocation schemes for macro data-flow computer

Evaluation of static program allocation schemes for macro da...

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EUROMICRO Conference

作者： A. Kvas M. Ojstersek V. Zumer Faculty of Technical sciences University of Maribor Maribor Slovenia

The paper evaluates three improved methods for static allocation of program modules into processing elements of a macro data-flow computer model (MDFCM). A vertically layered algorithm is presented first. We have improved it with the determination of operands that are triggered during execution of modules. The second algorithm is based on execution levels of modules. We have used E1 and L1 execution levels. The static allocation algorithm gives priority of allocation of program modules on ascending order of L1 or E1 level (depending on the algorithm). Evaluation is done by the simulation of MDFCM. The results have shown that the first algorithm is the best one according to program execution time.< >

关键词： data flow computing Processor scheduling Computational modeling flow graphs Delay effects Concurrent computing Parallel processing Computer architecture Costs Physics computing

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Meandre: Semantic-Driven data-Intensive flows in the Clouds

Meandre: Semantic-Driven Data-Intensive Flows in the Clouds

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IEEE International Conference on e-Science and Grid computing

作者： Xavier Llorà Bernie Ács Loretta S. Auvil Boris Capitanu Michael E. Welge David E. Goldberg Dept. of Industrial and Enterprise Systems Engineering University of Illinois at Urbana-Champaign Urbana USA Automated Learning Group University of Illinois at Urbana-Champaign Urbana USA Automated Learning Group University of Illinois at Urbana-Champaign Urbana

data-intensive flow computing allows efficient processing of large volumes of data otherwise unapproachable. This paper introduces a new semantic-driven data-intensive flow infrastructure which: (1) provides a robust and transparent scalable solution from a laptop to large-scale clusters,(2) creates an unified solution for batch and interactive tasks in high-performance computing environments, and (3) encourages reusing and sharing components. Banking on virtualization and cloud computing techniques the Meandre infrastructure is able to create and dispose Meandre clusters on demand, being transparent to the final user. This paper also presents a prototype of such clustered infrastructure and some results obtained using it.

关键词： Cloud computing data flow computing Robustness Portable computers Large-scale systems Genetic algorithms Laboratories Computer industry data engineering Genetic engineering

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