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IEEE Sensors

作者： S. Sallem N. Ravot LIST CEA Gif-sur-Yvette France

ISBN: (纸本)9781479982042

The SMSW (Signature Magnification by Selective Windowing) method, based on a temporal processing treat the reflectogram so as to make soft defect signatures detectable. The algorithm first performs a localization of critical points of the reflectogram (zero-crossing or mean-crossing). Then, it selects points having enough energy in both sides (above threshold). This threshold is to be determined statistically or set depending on the application. Once the defect area is windowed, we proceed to the magnification procedure which amplify the defect signature while reducing the noise level on the reflectogram. The proposed method shows very convincing results both in simulation and experiments and for different types of cable and transmission line. We have demonstrated and assessed its applicability on coaxial cables, twisted pair and micro-strip lines. We found that we achieve a gain even with low SNR (Signal to Noise Ratio).

关键词： Soft defect cable diagnosis detection selective amplification time domain reflectometry time domain reflectometry reflectograms magnification multiprogramming Noise levels coaxial cables signatures

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Automatic Tuning of the multiprogramming Level in Sybase SQL Anywhere

Automatic Tuning of the Multiprogramming Level in Sybase SQL...

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26th IEEE International Conference on Data Engineering (ICDE)

作者： Abouzour, Mohammed Salem, Kenneth Bumbulis, Peter Sybase iAnywhere Waterloo ON Canada Univ Waterloo David R Cheriton Sch Comp Sci Waterloo ON Canada

ISBN: (纸本)9781424465217

This paper looks at the problem of automatically tuning the database server multiprogramming level to improve database server performance under varying workloads. We describe two tuning algorithms that were considered and how they performed under different workloads. We then present the hybrid approach that we have successfully implemented in SQL Anywhere 12. We found that the hybrid approach yielded better performance than each of the algorithms separately.

关键词： multiprogramming

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Process Variation-Aware Workload Partitioning Algorithms for GPUs Supporting Spatial-Multitasking

Process Variation-Aware Workload Partitioning Algorithms for...

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Design, Automation and Test in Europe Conference and Exhibition (DATE)

作者： Aguilera, Paula Lee, Jungseob Farmahini-Farahani, Amin Morrow, Katherine Schulte, Michael Kim, Nam Sung Univ Wisconsin Madison WI 53706 USA

ISBN: (纸本)9783981537024

High-level programming languages have transformed graphics processing units (GPUs) from domain-restricted devices into powerful compute platforms. Yet many "general-purpose GPU" (GPGPU) applications fail to fully utilize the GPU resources. Executing multiple applications simultaneously on different regions of the GPU (spatial multitasking) thus improves system performance. However, within-die process variations lead to significantly different maximum operating frequencies (F-max) of the streaming multiprocessors (SMs) within a GPU. As the chip size and number of SMs per chip increase, the frequency variation is also expected to increase, exacerbating the problem. The increased number of SMs also provides a unique opportunity: we can allocate resources to concurrently-executing applications based on how those applications are affected by the different available F-max values. In this paper, we study the effects of per-SM clocking on spatial multitasking-capable GPUs. We demonstrate two factors that affect the performance of simultaneously-running applications: (i) the SM partitioning algorithm that decides how many resources to assign to each application, and (ii) the assignment of SMs to applications based on the operating frequencies of those SMs and the applications characteristics. Our experimental results show that spatial multitasking that partitions SMs based on application characteristics, when combined with per-SM clocking, can greatly improve application performance by up to 46% on average compared to cooperative multitasking with global clocking.

关键词： graphics processing units high level languages multiprogramming GPU graphics processing units high level programming languages maximum operating frequencies process variation aware workload partitioning algorithms spatial multitasking streaming multiprocessors within die process variations Business process re-engineering Clocks Frequency control Graphics processing units Kernel Multitasking Partitioning algorithms

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The Effect of Moving Windows on Software Effort Estimation: Comparative Study with CART 6

The Effect of Moving Windows on Software Effort Estimation: ...

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6th International Workshop on Empirical Software Engineering in Practice (IWESEP)

作者： Amasaki, Sousuke Lokan, Chris Okayama Prefectural Univ Dept Syst Engn Okayama 7191197 Japan UNSW Canberra Sch Engn & Informat Technol Canberra ACT 2600 Australia

ISBN: (纸本)9781479966660

BACKGROUND: Several studies in software effort estimation have found that it can be effective to use a window of recent projects as training data for building an effort estimation model. The previous studies evaluated the use of a window with popular estimation models: linear regression (LR) and estimation by analogy (EbA). Many effort estimation models have been proposed, and the generality of windowing approach still remains uncertain for other effort estimation models, especially for those based on different theory. OBJECTIVE: This study investigates the effect of using a window on estimation accuracy with Classification and regression trees (CART). CART was recently found as a good performance method, and is based on a different theory from LR and EbA. METHOD: We compared the estimation accuracy of a windowing approach and growing approach with the same data set and procedure as the past studies. RESULTS: There is a difference in the estimation accuracy between using a window and not using a window. However, the effctive range of using windows on CART is narrower than that on LR. CONCLUSIONS: Windowing is also effective with CART. However, the range of effectiveness is narrower. The results contribute to the generality of the effectiveness of windowing approach.

关键词： pattern classification regression analysis software development management CART EbA LR classification and regression trees effort estimation models estimation by analogy linear regression moving windows software effort estimation windowing approach Accuracy Estimation Linear regression Market research Size measurement Software Testing effort estimation classification and regression trees Linear Regression windows dimensional measurement Software development management market research cart window windows multiprogramming computer software Pattern recognition regression analysis computer programs

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A Transform Domain Modular Approach for Facial Recognition Using Different Representations and Windowing Techniques 57

A Transform Domain Modular Approach for Facial Recognition U...

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57th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Chehata, Ramy C. G. Mikhael, Wasfy B. Atia, George Univ Cent Florida Dept Elect Engn & Comp Sci Orlando FL 32816 USA

ISBN: (纸本)9781479941322

A face recognition algorithm based on a newly developed Transform Domain Modular (TDM) approach is proposed. In this approach, the spatial faces are divided into smaller sub-images, which are processed using non-overlapping and overlapping windows. Each image is subsequently transformed using a compressing transform such as the two dimensional discrete cosine transform. This produces the TDM2D and the TDM-Dia based on two-dimensional and diagonal representations of the data, respectively. The performance of this approach for facial image recognition is compared with the state of the art successful techniques. The test results, for noise free and noisy images, yield higher than 97.5% recognition accuracy. The improved recognition accuracy is achieved while retaining comparable or better computation complexity and storage savings.

关键词： Face Face recognition Principal component analysis Testing Time division multiplexing Training Transforms Facial Recognition Transform time division multiplexing Face Face principal components analysis Functional training Image recognition window method state of the art face recognition algorithm multiprogramming Representation of data modular approach

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Resource-Constrained Spatial Multi-Tasking for Embedded GPU

Resource-Constrained Spatial Multi-Tasking for Embedded GPU

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Joo, Woohyun Shin, Dongkun Samsung Elect Digital Media & Commun R&D Ctr Suwon South Korea Sungkyunkwan Univ Sch Informat & Commun Engn Suwon South Korea

ISBN: (纸本)9781479912919

For recent smart devices, the embedded GPU is an indispensable unit and multi-task scheduling on the GPU becomes an important issue. To prevent the performance degradation on foreground GPU task by competing background GPU tasks, we propose a novel spatial multi-tasking which limits the number of available GPU cores for each task based on its priority. The proposed algorithm improved the performance of high priority task by up to 14% over the temporal budget based multi-tasking.

关键词： graphics processing units multiprogramming performance evaluation processor scheduling embedded GPU cores graphics processing unit multitask scheduling performance degradation prevention resource-constrained spatial multitasking smart consumer devices temporal budget based multitasking Educational institutions Electronic mail Graphics processing units Performance evaluation Processor scheduling Smart phones

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Hand-held Mobile Augmented Reality for Collaborative Problem Solving: A Case Study with Sorting

Hand-held Mobile Augmented Reality for Collaborative Problem...

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47th Annual Hawaii International Conference on System Sciences

作者： Shatte, Adrian Holdsworth, Jason Lee, Ickjai James Cook Univ Sch Business IT Townsville Qld 4811 Australia James Cook Univ Sch Business IT Cairns Qld 4870 Australia

ISBN: (纸本)9781479925049

Due to the advances in mobile technology, mobile augmented reality has been widely used for many disciplines. The ubiquity nature of mobile augmented reality supports a flexible, engaging and entertaining learning environment. However, most mobile devices are hand-held, and they require multitasking (mobile information processing and learning) that is a major hurdle for learning. This paper investigates the effects of multitasking of hand-held mobile augmented reality for problem solving. We design and implement a robust framework, and conduct a case study of sorting activities with two distinct groups: individual and collaborative pair settings. Experimental results demonstrate that 1) there is no significant difference between two groups in sorting without our proposed system;2) there is a significant improvement with collaborative sorting with our proposed system. Test statistics confirm that our proposed system significantly improve collaborative pair sorting activities.

关键词： augmented reality computer aided instruction groupware mobile computing mobile handsets multiprogramming problem solving sorting collaborative pair sorting activities collaborative problem solving flexible-engaging-entertaining learning environment hand-held mobile augmented reality mobile devices mobile information processing mobile learning mobile technology problem solving Cameras Collaboration Educational institutions Mobile communication Multitasking Sorting Visualization Augmented reality collaborative problem solving mobile AR sorting

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Low Latency FPGA Acceleration of Market Data Feed Arbitration

Low Latency FPGA Acceleration of Market Data Feed Arbitratio...

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IEEE 25th International Conference on Application-Specific Systems, Architectures and Processors (ASAP)

作者： Denholm, Stewart Inoue, Hiroaki Takenaka, Takashi Becker, Tobias Luk, Wayne Univ London Imperial Coll Sci Technol & Med Dept Comp London England NEC Corp Ltd Kawasaki Kanagawa Japan

ISBN: (纸本)9781479936090

A critical source of information in automated trading is provided by market data feeds from financial exchanges. Two identical feeds, known as the A and B feeds, are used in reducing message loss. This paper presents a reconfigurable acceleration approach to A/B arbitration, operating at the network level, and supporting any messaging protocol. The key challenges are: providing efficient, low latency operations;supporting any market data protocol;and meeting the requirements of downstream applications. To facilitate a range of downstream applications, one windowing mode prioritising low latency, and three dynamically configurable windowing methods prioritising high reliability are provided. We implement a new low latency, high throughput architecture and compare the performance of the NASDAQ TotalView-ITCH, OPRA and ARCA market data feed protocols using a Xilinx Virtex-6 FPGA. The most resource intensive protocol, TotalView-ITCH, is also implemented in a Xilinx Virtex-5 FPGA within a network interface card. We offer latencies 10 times lower than an FPGA-based commercial design and 4.1 times lower than the hardware-accelerated IBM PowerEN processor, with throughputs more than double the required 10Gbps line rate.

关键词： Arbitrating Network interface cards Information source network level Latency FEEDS Fodder Field programmable gate arrays protocols Telemarketing multiprogramming acceleration configurability

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Eden: Simplified Management of Atypical High-Performance Computing Jobs

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COMPUTING IN SCIENCE & ENGINEERING 2013年第6期15卷 46-54页

作者： Simmerman, Scott Osborne, James Huang, Jian Univ Tennessee NICS Knoxville TN 37996 USA Univ Tennessee Knoxville TN 37996 USA Univ Tennessee Dept Elect Engn & Comp Sci Knoxville TN 37996 USA

As multiprocessor and multicore technology becomes prevalent, shared-memory architectures with 1,024 or more processing cores are becoming available for general-purpose applications. As an early operator of such a system, the Remote Data Analysis and Visualization (RDAV) center at the University of Tennessee observed a host of user applications needing to scale up their computation by running many concurrent instances of generic codes. This isn't a typical way of using high-performance computing systems, and naive solutions supporting such needs would cause significant issues that hamper system scalability and stability. The RDAV center's Eden software package helps manage large numbers of concurrent serial jobs with high throughput for any such application. Here, the authors describe the motivation and technical nature of Eden and report representative use cases they've participated in during the past two years.

关键词： Computer Architecture Career Development Program Processors High Performance Computing Data Analysis Parallel Processing Operating Systems Programming Languages Computer Architecture Career Development Program Processors High Performance Computing Data Analysis Parallel Processing Operating Systems Scientific Computing High Performance Computing Scheduling Process Management Operating Systems Software Software Engineering multiprogramming Multiprocessing Multicore Concurrency Scripting Languages

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Target range estimation based on a non-homogenous Poisson process model

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IET SIGNAL PROCESSING 2013年第3期7卷 249-258页

作者： Yildirim, Alper TUBITAK BILGEM ILTAREN Ankara Turkey

In this study, the author analyses target range estimation errors in matched filtering-based detection performed in high range resolution (HRR) radars. Conventional radar signal processors use point target detectors, where extended target responses are put through a point detection process by windowing and thresholding. The author demonstrates through simulations that the performance of degradation under the point target assumption can be significant for HRR radars, where targets extend across several detection cells. The author modelled the reflections for stationary and moving extended target scenarios by using three target signal models (TSMs). A non-homogenous Poisson process (NHPP) is provided to model the signal at the output of the target detector, which includes reflections from targets and clutter. The corresponding maximum likelihood (ML) estimator is derived as a range estimation technique. The author simulated a target detection process and made comparisons between the classical-and NHPP-based peak estimator performances for each of the TSMs. Furthermore, the ML estimation (MLE) algorithm is extended for multiple targets. The author demonstrates that the ML estimator significantly reduces target range estimation errors compared with the classical point target estimators.

关键词： Computer Programming Languages Poisson process Target detectors radar degradation of performance Writers Estimation Techniques Reflection procedural model SHOOTING RANGE multiprogramming extended target

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