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检索条件"主题词=Data Flow Computing"

共 877 条记录，以下是251-260 订阅

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Tracking recurrent concept drift in streaming data using ensemble classifiers

Tracking recurrent concept drift in streaming data using ens...

引用

International Conference on Machine Learning and Applications (ICMLA)

作者： Sasthakumar Ramamurthy Raj Bhatnagar Department of Computer Science University of Cincinnati Cincinnati OH USA

Streaming data may consist of multiple drifting concepts each having its own underlying data distribution. We present an ensemble learning based approach to handle the data streams having multiple underlying modes. We build a global set of classifiers from sequential data chunks; ensembles are then selected from this global set of classifiers, and new classifiers created if needed, to represent the current concept in the stream. The system is capable of performing any-time classification and to detect concept drift in the stream. In streaming data historic concepts are likely to reappear so we don't delete any of the historic classifiers. Instead, we judiciously select only pertinent classifiers from the global set while forming the ensemble set for a classification task.

关键词： Statistics Machine learning Testing Application software Computer science data mining data flow computing Environmental economics Information filtering Decision trees

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flow-aware Cross Packet Inspection using Bloom Filters for High Speed data-path Content Matching

Flow-aware Cross Packet Inspection using Bloom Filters for H...

引用

IEEE International Advance computing Conference, IACC

作者： Kumar S P Arun High-End Systems BU Juniper Networks India Private Limited Bangalore India arunkumarsp@***

Content matching based algorithms form the core of many network security devices. It is one of the critical components due to the fact that it allows making decisions based on the actual content flowing through the network. The most important parameters that go into the design of a content matching algorithm are its performance and accuracy of detection. Although this topic had received significant attention in literature over past decade, much of the work was focused on improving the performance. The accuracy of detection was limited within a packet instance. Protocols like TCP do not guarantee that message boundaries are preserved. This can result in a segmented pattern across packets. This paper demonstrates a novel flow-aware content matching algorithm that solves this limitation without compromising the performance.

关键词： Inspection Matched filters data security Payloads Pattern matching Protocols IP networks Computer crime Computer networks data flow computing

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Available parallelism with data value prediction

Available parallelism with data value prediction

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International Conference on High Performance computing

作者： R. Sathe M. Franklin Department of Electrical and Computer Engineering Clemson University Clemson SC USA Department of Electrical Engineering University of Maryland College Park MD USA

data dependences (data flow constraints) present a major hurdle to the amount of instruction-level parallelism that can be exploited from a program. Recent work has focused on the use of data value prediction to overcome the limits imposed by data dependences. That is, when an instruction is fetched, its result can be predicted so that subsequent instructions that depend on the result can execute earlier using the predicted value. When the correct result becomes available, it is compared against the value predicted earlier, so as to validate the prediction. Whereas significant work has been done towards developing schemes for accurately predicting data values, not much work has been done towards understanding and quantifying the performance impact of data value prediction. This paper presents a quantitative study of the impact of data value prediction on available parallelism. Our studies, done with the MIPS instruction set and a collection of SPEC95 integer benchmarks, show that data value prediction provides significant increases in available parallelism when infinite size instruction window and perfect branch prediction are used. Our studies with finite size windows shows that the impact of data value prediction is not very significant for small window sizes such as 64. When the instruction window size is increased, the benefits of data value prediction become more apparent.

关键词： Parallel processing Computer aided instruction Concurrent computing data flow computing data engineering Educational institutions Computer architecture Manufacturing processes Hardware Gain measurement

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A demand-driven analyzer for data flow testing at the integration level

A demand-driven analyzer for data flow testing at the integr...

引用

International Conference on Software Engineering (ICSE)

作者： E. Duesterwald R. Gupta M.L. Soffa Depastment of Computer Science University of Pittsburgh Pittsburgh PA USA

data-flow testing relies on static analysis for computing the definition-use pairs that serve as the test case requirements for a program. When testing large programs, the individual procedures are first tested in isolation during unit testing. Integration testing is performed to specifically test the procedure interfaces. The procedures in a program are integrated and tested in several steps. Since each integration step requires data-flow analysis to determine the new test requirements, the accumulated cost of repeatedly analyzing a program can contribute considerably to the overhead of testing. data-flow analysis is typically computed using an exhaustive approach or by using incremental data-flow updates. This paper presents a new and more efficient approach to data-flow integration testing that is based on demand-driven analysis. We developed and implemented a demand-driven analyzer and experimentally compared its performance during integration testing with the performance of (i) a traditional exhaustive analyzer, and (ii) an incremental analyzer. Our experiments show that demand-driven analysis is faster than exhaustive analysis by up to a factor of 25. The demand-driven analyzer also outperforms the incremental analyzer in 80% of the test programs by up to a factor of 5.

关键词： data analysis data flow computing Application software Performance analysis Software testing Cost benefit analysis Computer science Performance evaluation Optimizing compilers Software engineering

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data-flow Assisted Behavioral Partitioning For Embedded Systems

Data-flow Assisted Behavioral Partitioning For Embedded Syst...

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Design Automation Conference

作者： S. Agrawal R.K. Gupta Synopsys Inc. Mountain View USA Department of Information and Computer Science University of California Irvine Irvine USA

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High-resolution reconstruction of sparse data from dense low-resolution spatio-temporal data

High-resolution reconstruction of sparse data from dense low...

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International Conference on Pattern Recognition

作者： Qing Yang B. Parvin Computing Sciences Lawrence Berkeley National Laboratory Berkeley CA USA

ISBN: (纸本)076951695X

An approach for reconstruction of sparse high-resolution data from lower-resolution dense spatiotemporal data is introduced. The basic idea is to compute the dense feature velocities from lower-resolution data and project them to the corresponding high-resolution data for computing the missing data. In this context, the basic flow equation is solved for intensity, as opposed to feature velocities at high resolution. Although the proposed technique is generic, we have applied our approach to sea surface temperature (SST) data at 18 km (low-resolution dense data)for computing the feature velocities and at 4 km (high-resolution sparse data) for interpolating the missing data. At low resolution, computation of flow field is regularized and uses the incompressibility constraints for tracking fluid motion. At high resolution, computation of intensity is regularized for continuity across multiple frames.

关键词： Ocean temperature Interpolation Image reconstruction Laboratories Equations Satellites Sea surface Image resolution Computational complexity data flow computing

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Parallel task scheduling for the block data flow architecture

Parallel task scheduling for the block data flow architectur...

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IEEE Southeastcon

作者： G.R. Cato D.S. Reeves Departments of Computer Science and Electrical & Computer Engineering North Carolina State University Raleigh NC USA

An important issue in the development of high performance computer architectures is how to automatically partition algorithms for parallel execution. The cyclostatic realization method (CRM) is identified as a basis for an effective mapping methodology to achieve automatic partitioning. The paper develops an advanced mapping methodology for the block data flow architecture (BDFA) based on CRM. Weaknesses in the existing methodology are identified and an effective, generalized methodology for correcting these weaknesses is proposed. Several key factors are investigated: a system-wide average iteration period for multiple input streams, the effect of communication overhead, and the influence of network topology. The enhanced mapping methodology is applied to the BDFA for a 2D 2nd order IIR filter.

关键词： Computer architecture Signal processing algorithms Processor scheduling Digital signal processing Scheduling algorithm Parallel processing Concurrent computing Iterative algorithms flow graphs data flow computing

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Satellite backbone data network of yamal satellite . communication system

Satellite backbone data network of yamal satellite . communi...

引用

International Conference on Satellite Communications (ICSC)

作者： N.I. Nagorny Joint Stock Company GASCOM Kaliningrad Moscow Region Russia

Consideration of the problem of Satellite Backbone data Network of SCS "Yamal" (SBDN) organisation and definition of position that it takes place in RJSC "Gazprom" Corporative Network (CN).

关键词： Spine Control systems Satellite broadcasting Automatic control Computer networks data flow computing Communication system operations and management Resource management Software development management Artificial satellites

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Transforming Business Tasks to data flow Models for Decrease Process in Analysis Systems

Transforming Business Tasks to Data Flow Models for Decrease...

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International Conference on Advanced Computer Control, ICACC

作者： Ahmad Habibizad Navin Farzad Kiyani Jahangir Kheyri Hamidreza Tahmasebi Rad Comput. Eng. Dept. Islamic Azad Univ. of Tabriz Tabriz Computer engineering Department Islamic Azad university of Tabriz Tabriz Iran Computer engineering Department of Islamic Azad university of Tabriz Tabriz Iran

The most straight forward approach to requirements elicitation is to provide a direct transformation from the user's task descriptions to analysis models. A detailed description of tasks is formalized in ontology. Using the task ontology it is possible to create templates to facilitate transforming tasks to both use cases and data flow diagrams. In this paper, a new user-oriented approach for task analysis is presented to decrease process in analysis systems.

关键词： Ontologies data mining User interfaces data flow computing Acceleration Process design Usability data engineering Context modeling Computer aided software engineering

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Combined control flow dominated and data flow dominated high-level synthesis

Combined control flow dominated and data flow dominated high...

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Design Automation Conference

作者： E. Berrebi P. Kission S. Vernalde S. De Troch J.C. Berluison J. Frehel A.A. Jerraya I. Bolsens Av. Félix Viallet TIMA 46 Grenoble France SGS-Thomson Microelectronics Inc. France IMEC Leuven Belgium

This paper presents the design of a Videophone Coder-Decoder Motion Estimator using two High-Level Synthesis tools. Indeed, the combination of a Control flow Dominated part (complex communication protocol) with a data flow Dominated part (high throughput computations) makes this circuit difficult to be synthesized by a single HLS tool. The combination of two HLS tools for the high-level design of this operator required the definition of a sophisticated design flow allowing mixed-level and multi-language simulations. When compared to design starting from RTL specifications, HLS induces only a negligible area overhead of 5%, and provides gain in description length (divided by 5), design time and flexibility.

关键词： High level synthesis Communication system control Codecs Motion estimation Protocols Throughput data flow computing Circuit synthesis Computational modeling Circuit simulation

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