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检索条件"主题词=Data Flow Computing"

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DDFgraph: a tool for dynamic data flow graphs visualization

DDFgraph: a tool for dynamic data flow graphs visualization

引用

International Conference on Software Maintenance (ICSM)

作者： F. Balmas Université Paris 8 France

DDFgraph allows extraction and visualization of dynamic data-flow graphs computed at runtime. It currently relies on a Lisp interpreter modified to monitor data use (both of global and local variables) during program execution and to detect the corresponding data flow, namely the value of variables 'flowing' from one point of the program to another. A companion database stores this flow and produces, on demand, its representation as a graph for dot. Furthermore, the flow graph can be manipulated, in order to reduce the size of the graph, through extraction of some parts of particular interest and/or through compaction of given subparts leaving visible only global flow.

关键词： flow graphs data visualization data mining data flow computing Runtime Monitoring databases Compaction Pattern analysis Performance analysis

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A variable wordsize camac tape controller

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IEEE Transactions on Nuclear Science 1973年第1期20卷 685-689页

作者： Oakes, Alan E. Andreae, Sypko W. Rudden, Robert J. Lawrence Berkeley Laboratorv University of California Berkeley California United States

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dataflow oriented similarity matching for scientific workflows

Dataflow oriented similarity matching for scientific workflo...

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2013 IEEE 37th Annual Computer Software and Applications Conference, COMPSAC 2013

作者： Yeo, Philip Abidi, Syed Sibte Raza Faculty of Computer Science Dalhousie University Halifax Canada

ISBN: (纸本)9780769549798

Duplicate and redundant workflows can be avoided by encouraging workflow reuse. In this paper, we present how workflow similarity matching approach can be used to further enhance existing workflow modeling tools. Most existing workflow similarity algorithms cater for control-flow oriented types of workflow which are typically associated with business workflows. The increase presence of scientific workflows that are mainly dataflow oriented calls for workflow similarity matching that caters for these types of workflows instead. We demonstrate here how our work of applying a behavioral analysis technique (taking into consideration the causal footprint of the workflow) that has been used for finding similarity in business workflows perform when use for scientific workflows. The distinction of our technique is the use of data provenance within the scientific workflow model where positional information of the workflow activities are taken in consideration in order to find matching workflow models. Preliminary experiments have shown that our proposed solution provides a viable alternative for matching scientific workflows within multiple scenarios. Furthermore, our suggested approach performs better, particularly with the removal and extension types of modification to the original workflow. © 2013 IEEE.

关键词： business data processing data flow computing

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Control of multiprocessor SPS-1000 configurations using principles of data-flow architecture

Control of multiprocessor SPS-1000 configurations using prin...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： R. Collesidis T. Dutton J. Fisher W. Metcalf Signal Processing Systems Inc. Waltham MA USA

The data-flow form of processor architecture has been investigated extensively in the context of general purpose computers and its applicability to signal processing has been suggested, but instances of the application of these principles are rare. In contrast to the conventional Von Neumann architecture in which a single program is executed in a sequence prescribed by the programmer and even to processors with multiple-instruction streams, a data-flow processor has no specified instruction ordering. Instead, instructions act on specific operands and the sequence of instruction execution is determined at run-time by the order in which the various operands become available. This technique of data-driven dynamic scheduling extends naturally to multiprocessors and is the basis for control of multiprocessor configurations of the SPS-1000 high-speed FFT processor.

关键词： Computer architecture Parallel processing Signal processing Concurrent computing Signal processing algorithms data flow computing Programming profession flowcharts Application software Runtime

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Hierarchical Optimization of the Parallel FDTD Computations Based on the Macro data flow Graph Paradigm

Hierarchical Optimization of the Parallel FDTD Computations ...

引用

International Symposium on Parallel and Distributed computing

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

A new algorithm for an optimized design of the FDTD (Finite Difference Time Domain) computations involved in simulations of electromagnetic wave propagation in irregular areas is presented in the paper. Computational programs are represented as macro data flow graphs (MDFG) which are to be partitioned and assigned to processors for optimal parallel execution. The proposed hierarchical optimization is based on two steps. The first step consists of a computation cell redeployment algorithm in irregular meshes where optimization is performed in three main phases: generation of an 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 inter-node data transmissions. The second step is a connectivity-based distributed node clustering which creates an optimized MDFG. The hierarchical algorithm combines both methods to speedup parallel execution of the FDTD computations and to reduce the execution time of the optimization algorithm.

关键词： data flow computing Finite difference methods Time domain analysis Concurrent computing flow graphs Partitioning algorithms Clustering algorithms Design optimization Algorithm design and analysis Computational modeling

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SimVis: Interactive visual analysis of large and time-dependent 3D simulation data 07

SimVis: Interactive visual analysis of large and time-depend...

引用

Simulation Winter Conference

作者： Helmut Doleisch VRVis Research Center Vienna Austria

ISBN: (纸本)9781424413065

SimVis is a novel technology for the interactive visual analysis of large and complex flow data which results from computational fluid dynamics (CFD) simulation. The new technology which has been researched and developed over the last years at the VRVis Research Center in Vienna, introduces a new approach for interactive graphical exploration and analysis of time-dependent data (computed on large three-dimensional grids, and resulting in a multitude of different scalar/vector values for each cell of these grids). In this paper the major new technological concepts of the SimVis approach are presented and real-world application examples are given.

关键词： Analytical models data visualization Computational modeling Computational fluid dynamics data analysis data flow computing data engineering Focusing Grid computing Frequency

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The functional data model and a dataflow style of query processing

The functional data model and a dataflow style of query proc...

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Symposium on Applied computing

作者： F. Golshani Department of Computer Science and Engineering Arizona State University USA

dataflow is a method for parallel computation in which the elementary operations of the computer are activated by the flow of data. Computation is carried out in some autonomous processors which are connected to each other by some communication lines. The author shows how this model of computation can lead to interesting ideas in the management of knowledge bases. Each of the processors in the system is seen as a database machine which makes use of the modern sophisticated storage devices. Thus parallelism is gained both at the storage level (as is customary in database literature) and in the overall computation process.< >

关键词： data models Query processing Object oriented modeling Computational modeling Concurrent computing data flow computing Computer networks database machines Parallel processing Knowledge management

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Communication Optimization Algorithms based on Extend data flow Graph

Communication Optimization Algorithms based on Extend Data F...

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ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed computing (SNPD)

作者： Xue-rong Gong Rong-cai Zhao Lin-sheng Lu National Digital Switching System China National Digital Switching System Engineering &Technological R&D Center Zhengzhou CHINA Jiangnan Institute of Computing Technology China

Reducing communication overhead is extremely important for parallelizing compiler to generate efficient codes for distributed memory machines. In this paper, a redundant parallel execution model (RPEM) is used as the model for target programs. The extend data flow graph is introduced, and optimization algorithms based on the data-flow analysis are discussed. The overhead of data flow analysis can be reduced by performing analysis on the extend dataflow graph. The analysis helps to reduce the redundant communication overhead. These optimization algorithms are able to perform inter-loop and inter-procedure analysis. Experimental results prove that these optimizations algorithms are effective in reducing both the number of communications and the communication volume.

关键词： flow graphs data analysis Algorithm design and analysis Doped fiber amplifiers data flow computing Performance analysis Distributed computing Optimizing compilers Concurrent computing Communication system control

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ALFA: a static data flow architecture

ALFA: a static data flow architecture

引用

Frontiers of Massively Parallel Computation

作者： L. Verdoscia R. Vaccaro Istituto per la Ricerca sui Sistemi Informatici Paralleli I. R. S. I. P. Napoli Italy

The authors present the ALFA architecture, a data flow machine with 16384 functional units (FUs) grouped in 128 clusters. ALFA is based on the Backus FFP computational model and uses the static data flow execution model. This machine's behavior is deterministic and asynchronous. Consequently, after compile time, instructions and data are no longer related. In this machine, even though its behavior is deterministic, no control token is generated during the computation, but only data tokens. Furthermore, during the execution phase, no memory is required to contain the partial results exchanged among FUs. A cluster with 128 FUs has been simulated, and some results are presented.< >

关键词： Computer architecture data flow computing Computational modeling Computer aided instruction Concurrent computing Prototypes Counting circuits Parallel processing Routing Hardware

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Dynamic template generation for resource sharing in control and data flow graphs

Dynamic template generation for resource sharing in control ...

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International Conference on VLSI Design

作者： D.C. Zaretsky G. Mittal R.P. Dick P. Banerjee Department of Electrical Electrical & Computer Science Northwestern University Evanston IL USA College of Engineering University of Illinois Chicago Chicago IL USA

High-level synthesis compilers often produce reoccurring patterns in intermediate CDFGs during translation. By identifying large reoccurring patterns, one may reduce area and communication overhead by efficiently reusing hardware for multiple operations. This paper presents an algorithm for dynamically generating templates of reoccurring patterns for resource sharing in CDFGs. Results show 40-80% resource reduction using small, incremental template growth, and variations within a 5% margin among varying look-ahead depths.

关键词： Resource management flow graphs Hardware Field programmable gate arrays Libraries Cost function High level synthesis Routing data flow computing Computer science

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