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检索条件"任意字段=IEEE Symposium on Large-Scale Data Analysis and Visualization"

共 4897 条记录，以下是4821-4830 订阅

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Advanced methods of performance data processing and analysis

Advanced methods of performance data processing and analysis

引用

International symposium on Parallel Processing

作者： D.T. Rover A. Waheed M. Doetsch Department of Electrical Engineering Michigan State University East Lansing MI USA

The analysis of program performance on massively parallel (MPP) systems is a non-trivial task which is increasingly performed using visualization tools. Conventional processing, analysis, and display methods typically do not adequately support the evaluation of program performance on large-scale parallel systems. These methods can be limited by the sheer volume of performance data and often lack any rigorous approach to analyze it. The objective of the approach outlined is to develop a more powerful method to analyze performance data visually as well as statistically which is scalable and extensible and which represents some physical and/or logical structure of the parallel system state. The approach focuses on applying image processing and analysis techniques to MPP performance analysis. This approach has been prototyped and tested for proof-of-concept. The AVS scientific visualization tool is used to analyze and display images of performance data from program executions on actual machines. Results of these experiments are presented.< >

关键词： data processing data analysis Performance analysis data visualization Displays Image analysis large-scale systems Image processing Prototypes Testing

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A pyramid-based approach to interactive terrain visualization

A pyramid-based approach to interactive terrain visualizatio...

引用

Parallel Rendering symposium

作者： J. Kaba J. Peters National Information Display Laboratory David Samoff Research Center Inc. Princeton NJ USA

This paper describes a multiresolution approach to the visualization of surface data. The algorithms discussed allow the generation of arbitrary views of 3-dimensional surfaces. Image processing and texture mapping techniques are combined in a new 3-pass scanline algorithm to achieve smooth and continuous translations, rotations, and scale changes of large data sets. The implementation of the algorithms on a massively parallel SIMD video supercomputer, the Princeton Engine, allows the scenes to be generated interactively at video rates.

关键词： Rendering (computer graphics) data visualization Terrain mapping Layout Displays Engines Supercomputers Level measurement Laboratories Image processing

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Image analysis and 3-D visualization of intracerebral brain hemorrhage

Image analysis and 3-D visualization of intracerebral brain ...

引用

Annual ieee symposium on Computer-Based Medical Systems

作者： A.P. Dhawan S. Loncaric K. Hitt J. Broderick T. Brott Dept. of Electr. & Comput. Eng. Cincinnati Univ. OH USA Department of Electrical and Computer Engineering University of Cincinnati Cincinnati OH USA Department of Neurology University of Cincinnati Cincinnati OH USA

A new 3D technique for the human spontaneous intracerebral brain hemorrhage (ICH) region segmentation and quantification is presented in this paper. The ICH primary region segmentation algorithm uses the K-means histogram-based clustering algorithm. The ICH edema region segmentation algorithm employs an iterative morphological processing of the ICH brain data. A volume rendering technique is used for the effective 3D visualization of ICH segmented regions. A computer program is developed for use in the human spontaneous ICH study involving large number of patients. Some experimental measurements and visualization results are presented which were computed on real ICH patient brain data.< >

关键词： Image analysis Hemorrhaging Interpolation Computed tomography Humans data visualization Clustering algorithms Iterative algorithms Image segmentation Nervous system

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Optimizing mass storage organization and access for multi-dimensional scientific data

Optimizing mass storage organization and access for multi-di...

引用

ieee symposium on Mass Storage Systems

作者： R. Drach S.W. Hyer S. Louis G. Potter G. Richmond A. Shoshani D. Rotem A. Segev S. Seshadri H. Samet P. Bogdanovich Lawrence Livemore National Laboratory Livermore CA USA Lawrence Berkeley National Laboratory Berkeley CA USA University of California Berkeley Berkeley CA USA University of Maryland College Park MD USA

A critical issue for scientific investigators is ready access to the large volume of data generated by large-scale supercomputer simulations and physical experiments. The authors describe the current status of a collaborative effort which focuses on managing data produced by climate modeling applications. The project is aimed at significantly improving the accessibility and ease of use of large scientific databases, in the context of a hierarchical mass storage system. The following aspects of the work are considered in detail: physical database design, metadata, storage, the mass storage system interface, and reduced data sets.< >

关键词： Laboratories Supercomputers data analysis Delay database systems Indexing Assembly Educational institutions large-scale systems Collaboration

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Hierarchical symbolic circuit analysis of large-scale networks on multi-processor systems

Hierarchical symbolic circuit analysis of large-scale networ...

引用

ieee International symposium on Circuits and Systems (ISCAS)

作者： M. Hassoun P. Atawale Department of Electrical Engineering and Computer Engineering Iowa State University Ames IA USA

A parallel implementation of a hierarchical symbolic analysis algorithm (SCAPP) on a 128-node nCUBE hypercube class processor is presented. The basic operation involves exploiting the inherent parallelism in the symbolic analysis algorithm on two levels. The first level is scheduling the partitions of a circuit onto a subset of available processors. The second level is dividing and scheduling, for each partition, the tasks of reducing the sparse symbolic modified nodal analysis matrix using the rest of the available processors. The algorithm does not impose any constraints on the number of processors required and uses minimal data movement. This results in low communication overhead between the processors. The algorithm is applicable to any general message-passing multiprocessor architecture. A speedup on the order p (number of processors) is achieved.< >

关键词： Circuit analysis large-scale systems Partitioning algorithms Algorithm design and analysis Parallel processing Equations Hypercubes Concurrent computing Processor scheduling Message passing

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Fast volume rendering of compressed data 93

Fast volume rendering of compressed data

引用

ieee Conference on visualization

作者： P. Ning L. Hesselink Department of Electrical Engineering University of Stanford Stanford CA USA

ISBN: (纸本)9780818639401

Volume rendering has been proposed as a useful tool for extracting information from large datasets, where non-visual analysis alone may not be feasible. The scale of these applications implies that data management is an important issue that needs to be addressed. Most volume rendering algorithms, however, process data in raw, uncompressed form. In previous work, we introduced a compressed volume format that may be volume rendered directly with minimal impact on rendering time. In this paper, we extend these ideas to a new volume format that not only reduces storage space and transmission time, but is designed for fast volume rendering as well. The volume dataset is represented as indices into a small codebook of representative blocks. With the data structure, volume shading calculations need only be performed on the codebook and image generation is accelerated by reusing precomputed block projections.< >

关键词： Rendering (computer graphics) data visualization data compression Vector quantization data analysis Speech analysis Image storage Isosurfaces Ray tracing data mining

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Principal component analysis of dynamic PET and gamma camera images: a methodology to visualize the signals in the presence of large noise

Principal component analysis of dynamic PET and gamma camera...

引用

ieee symposium on Nuclear Science (NSS/MIC)

作者： F. Pedersen M. Bergstrom E. Bengtsson E. Maripuu Centre for Image Analysis University of Uppsala Uppsala Sweden Uppsala University PET Centre UAS Uppsala Sweden Department of Hospital Physics UAS Uppsala Sweden

Principal component analysis (PCA) is a data-driven technique used to explain the variance-covariance structure of a data set. PCA of noisy image data can be expected to be hard to perform properly, since PCA has no way to discriminate between variance due to signals and variance due to noise. Further, PCA call not discriminate between pixels belonging to the background and pixels belonging to the object(s). The authors show that PCA of gamma camera and positron emission tomography (PET) images can be significantly improved by taking the noise and spatial background into consideration. The two applications represent two fundamentally different noise problems, namely large background noise and signal dependent noise. The problems are illustrated using a synthetic image and a methodology for exploring the feature space called multivariate image analysis (MIA). After defining the problems, a methodology for handling the noise is proposed. The preprocessing which is proposed is equivalent to expressing pixels according to their significance levels.< >

关键词： Principal component analysis Positron emission tomography Cameras visualization Image analysis Background noise Pixel Layout analysis of variance Space exploration

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Automatic fault location using E-beam and LSI testers

Automatic fault location using E-beam and LSI testers

引用

Asian Test symposium (ATS)

作者： N. Itazaki T. Sumioka S. Kajihara K. Kinoshita Department of Applied physics Faculty of Engineering Osaka University Suita Osaka Japan

In this paper, we propose a method for locating faults using an E-beam tester together with a conventional LSI tester. This method applies the fault analysis method using vector pairs by Cox and Rajski to the analysis and diagnosis using E-beam tester. Since an accurate observation of VLSI is possible by E-beam probing, high fault coverage with a few observation time can be attained.< >

关键词： Fault location large scale integration Automatic testing Circuit faults Circuit testing Fault diagnosis Very large scale integration data mining Combinational circuits Information analysis

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An integrated database system for effective correlation analysis to improve LSI manufacturing yield

An integrated database system for effective correlation anal...

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ieee/CHMT(CPMT) International Electronics Manufacturing Technology symposium

作者： K. Kubota T. Okubo H. Takeuchi NTT LSI Laboratories Atsugi Kanagawa Japan

An integrated relational database (DB) system consisting of process, PMTEG (Process Monitoring Test Element Group), and LSI testing DBs is implemented on a high speed DB machine for effective correlation analysis. For saving DB machine disk area, only the process data necessary for correlation analyses are temporarily stored in the DB on the DB machine. The body of the process data is stored in a distributed DB on the EWSs used to control the LSI manufacturing line equipment. A correlation analysis program, which has a user-friendly window-type man-machine interface, has been developed for the integrated DB. The program retrieves data at high speed with parallel access to the DB. The total performance of the correlation analyses is improved over ten times compared with the old system that included stand-alone DBs and a PC-based correlation analysis program.< >

关键词： database systems large scale integration Manufacturing processes System testing Performance analysis Information retrieval Transient analysis Fabrication data analysis data processing

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Clock distribution design in VLSI circuits-An overview

Clock distribution design in VLSI circuits-An overview

引用

ieee International symposium on Circuits and Systems (ISCAS)

作者： E.G. Friedman Department of Electrical Engineering University of Rochester Rochester NY USA

Clock distribution networks synchronize the flow of data signals between data paths, and the design of these networks can dramatically affect system wide performance and reliability. The field of clock distribution design can be grouped into a number of subtopics: 1) circuit and layout techniques for structured custom VLSI systems; 2) the automated synthesis of clock distribution networks with application to automated synthesis of clock distribution networks with application to automated placement and routing of gate arrays, standard cells, and larger block-oriented circuits; 3) the analysis and modeling of the timing characteristics of clock distribution networks; and 4) the specification of the optimal timing characteristics of clock distribution networks based on architectural and functional performance requirements. Each of these areas is described and summarized. Future trends are discussed.< >

关键词： Clocks Very large scale integration Circuit synthesis Network synthesis Timing Synchronization Signal design Signal synthesis Circuit analysis Performance analysis

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