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检索条件"主题词=Data Flow Computing"

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A high-speed programmable architecture using barrel shifters for FFT and digital filtering

A high-speed programmable architecture using barrel shifters...

引用

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

作者： P. Ramamoorthy T. Chen Department of Electrical and Computer Engineering University of Cincinnati OH USA Department of ECE Louisiana State University Baton Rouge LA USA

Multiply and accumulate are the two basic operations for FFT and digital filtering algorithms. In high-speed applications, the multiplier is crucial to the performance. The multiplier requires either large chip area if parallel implementation is used or large amount of time if serial architecture is used. In this paper, the design of basic FFT arithmetic element and FIR filters using barrel shifters and accumulators (BSAC) to perform the multiplications is proposed and studied. The resulting architecture is completely programmable and allows the use of variable number of basic cells for each coefficient. The throughput rate of such an architecture is determined only by the delay in a single cell and hence can be of the order of 100 MHz or higher.

关键词： Digital filters Computer architecture Finite impulse response filter data flow computing Systolic arrays Throughput Digital signal processing Filtering algorithms Application software Arithmetic

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Performance analysis of Grid applications in the ASKALON environment

Performance analysis of Grid applications in the ASKALON env...

引用

International Workshop on Grid computing

作者： Radu Prodan Simon Ostermann Kassian Plankensteiner Institute of Computer S University of Innsbruck Innsbruck Austria

In this paper we describe the approach taken by the ASKALON Grid application development and computing environment for scalability and overhead analysis of scientific applications in the Austrian Grid. We present a technique imported from parallel processing for overhead and scalability analysis of Grid applications based on speedup and efficiency metrics required primarily for tuning the middleware services and improving the executions. We present experimental results that validate our techniques for five real-world applications in the Austrian Grid environment.

关键词： Performance analysis Grid computing Application software Scalability Middleware Computer applications Concurrent computing Parallel processing Time sharing computer systems data flow computing

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Energy minimization using multiple supply voltages

Energy minimization using multiple supply voltages

引用

International Symposium on Low Power Electronics and Design (ISLPED)

作者： Jui-Ming Chang M. Pedram Department of Electrical Engineering-Systems University of Southern California Los Angeles CA USA

We present a dynamic programming technique for solving the multiple supply voltage scheduling problem in both non-pipelined and functionally pipelined data-paths. The scheduling problem refers to the assignment of a supply voltage level to each operation in a data flow graph so as to minimize the average energy consumption for given computation time or throughput constraints or both. The energy model is accurate and accounts for the input pattern dependencies, re-convergent fanout induced dependencies, and the energy cost of level shifters. Experimental results show that using four supply voltage levels on a number of standard benchmarks, an average energy saving of 53% (with a computation time constraint of 1.5 times the critical path delay) can be obtained compared to using one fixed supply voltage level.

关键词： Voltage Time factors Processor scheduling data flow computing Dynamic programming Dynamic scheduling flow graphs Energy consumption Throughput Costs

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FPGA Implementation of a Change-Driven Image Processing Architecture for Optical flow Computation

FPGA Implementation of a Change-Driven Image Processing Arch...

引用

International Conference on Field Programmable Logic and Applications

作者： Julio C. Sosa Rocio Gomez-Fabela Jose A. Boluda Fernando Pardo Departmento de Informática Escuela Técnica Superior de Ingeniería Universidad de Valencia Valencia Spain

Optical flow computation has been extensively used for object motion estimation in image sequences. However, the results obtained by most optical flow techniques are as accurate as computationally intensive due to the large amount of data involved. A new strategy for image sequence processing has been developed; pixels of the image sequence that significantly change fire the execution of the operations related to the image processing algorithm. The data reduction achieved with this strategy allows a significant optical flow computation speed up. Furthermore, FPGAs allow the implementation of a custom data-flow architecture specially suited for this strategy. The bases of the change-driven image processing are presented, as well as the hardware custom implementation

关键词： Optical computing Field programmable gate arrays Image processing Computer architecture Image motion analysis Image sequences data flow computing Motion estimation Pixel Fires

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TD-NUCA: runtime driven management of NUCA caches in task dataflow programming models 22

TD-NUCA: runtime driven management of NUCA caches in task da...

引用

Proceedings of the International Conference on High Performance computing, Networking, Storage and Analysis

作者： Paul Caheny Lluc Alvarez Marc Casas Miquel Moreto Intel Corporation Leixlip Ireland Barcelona Supercomputing Center (BSC) Barcelona Spain

In high performance processors, the design of on-chip memory hierarchies is crucial for performance and energy efficiency. Current processors rely on large shared Non-Uniform Cache Architectures (NUCA) to improve performance and reduce data movement. Multiple solutions exploit information available at the microarchitecture level or in the operating system to optimize NUCA performance. However, existing methods have not taken advantage of the information captured by task dataflow programming models to guide the management of NUCA *** this paper we propose TD-NUCA, a hardware/software co-designed approach that leverages information present in the runtime system of task dataflow programming models to efficiently manage NUCA caches. TD-NUCA identifies the data access and reuse patterns of parallel applications in the runtime system and guides the operation of the NUCA caches in the hardware. As a result, TD-NUCA achieves a 1.18x average speedup over the baseline S-NUCA while requiring only 0.62x the data movement.

关键词： parallel architectures data flow computing cache memory

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Program slicing: methods and applications

Program slicing: methods and applications

引用

IEEE International Workshop on Source Code Analysis and Manipulation

作者： A. De Lucia Faculty of Engineering University of Sannio Benevento Italy

Program slicing is a viable method to restrict the focus of a task to specific sub-components of a program. Examples of applications include debugging, testing, program comprehension, restructuring, downsizing, and parallelization. The paper discusses different statement deletion based slicing methods, together with algorithms and applications to software engineering.

关键词： Application software Debugging Software engineering Testing Software algorithms Programming profession Computer applications data flow computing Equations

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Real-Time Optical flow Calculations on FPGA and GPU Architectures: A Comparison Study

Real-Time Optical Flow Calculations on FPGA and GPU Architec...

引用

Annual IEEE Symposium on Field-Programmable Custom computing Machines (FCCM)

作者： Jeff Chase Brent Nelson John Bodily Zhaoyi Wei Dah-Jye Lee Department of Electrical and Computer Engineering Brigham Young University Provo UT USA

FPGA devices have often found use as higher-performance alternatives to programmable processors for implementing a variety of computations. Applications successfully implemented on FPGAs have typically contained high levels of parallelism and have often used simple statically-scheduled control and modest arithmetic. Recently introduced computing devices such as coarse grain reconfigurable arrays, multi-core processors, and graphical processing units (GPUs) promise to significantly change the computational landscape for the implementation of high-speed real-time computing tasks. One reason for this is that these architectures take advantage of many of the same application characteristics that fit well on FPGAs. One real-time computing task, optical flow, is difficult to apply in robotic vision applications in practice because of its high computational and data rate requirements, and so is a good candidate for implementation on FPGAs and other custom computing architectures. In this paper, a tensor-based optical flow algorithm is implemented on both an FPGA and a GPU and the two implementations discussed. The two implementations had similar performance, but with the FPGA implementation requiring 12× more development time. Other comparison data for these two technologies is then given for three additional applications taken from a MIMO digital communication system design, providing additional examples of the relative capabilities of these two technologies.

关键词： Image motion analysis Field programmable gate arrays Optical computing High speed optical techniques Computer architecture Computer vision data flow computing Parallel processing Arithmetic Multicore processing

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Agent-oriented software analysis

Agent-oriented software analysis

引用

Australian Conference on Software Engineering

作者： K. Chan L. Sterling S. Karunasekera University of Melbourne Australia

Agent-oriented software engineering (AOSE) has become an active area of research in recent years. We look at the use of agent-oriented concepts for software analysis. Using agent-oriented analysis may offer benefits even if the system is implemented without an agent-based language or framework (e.g. using an object-oriented detailed design and language). We examine the software analysis components of a number of existing agent-oriented methodologies. We discuss the benefits that can be gained by using agent-oriented concepts, and where the concepts require further development. Based on this analysis, we present the agent-oriented methodology that we are developing, and describe an example of how it may be applied for software analysis.

关键词： Object oriented modeling Software engineering Application software Programming Buildings Information analysis Humans data analysis Software systems data flow computing

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The ATAMM procedure model for concurrent processing of large grained control and signal processing algorithms

The ATAMM procedure model for concurrent processing of large...

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IEEE National Conference on Aerospace and Electronics (NAECON)

作者： J.W. Stoughton R.R. Miekle Department of Electrical and Computer Engineering Old Dominion University USA Dept. of Electr. & Comput. Eng. Old Dominion Univ. Norfolk VA USA

An overview is presented of a model for describing data and control flow associated with the execution of large-grained, decision-free algorithms in a special distributed computer environment. The ATAMM (Algorithm-To-Architecture Mapping Model) model provides a basis for relating an algorithm to its execution in a dataflow multicomputer environment. The ATAMM model features a marked graph Petri net description of the algorithm behavior with regard to both data and control flow. The model provides an analytical basis for calculating performance bounds on throughput characteristics which are demonstrated here.< >

关键词： Process control Signal processing Signal processing algorithms Computer architecture Concurrent computing Distributed computing data flow computing Analytical models Performance analysis Parallel architectures

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A cooperative integration of stereopsis and optic flow computation

A cooperative integration of stereopsis and optic flow compu...

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International Conference on Pattern Recognition

作者： G. Sudhir S. Banerjee K.K. Biswas R. Bahl Centre for Applied Research in Electronics Indian Institute of Technology New Delhi India Department Computer Science and Engineering Indian Institute of Technology New Delhi India

A cooperative integration of stereopsis and optic flow computation is presented. Central to our approach is the modelling of the visual processes as a sequence of coupled Markov random fields by defining suitable interprocess interactions based on some natural constraints. The integration makes each of the individual processes better constrained and more reliable. Further, as a result of the integration, it becomes possible to accurately preserve the discontinuities in both the flow and the disparity fields along with the regions of stereo occlusion. Some results, both on noisy synthetic image data and real images are presented.

关键词： Optical computing Integrated optics Image motion analysis Network address translation Optical noise data flow computing Image sequences Computer science Physics computing

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