发布求助
文献互助 智能选刊 最新文献

First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)最新文献

筛选
英文 中文
A Lightweight Iterative Compilation Approach for Optimization Parameter Selection 一种优化参数选择的轻量级迭代编译方法
First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06) Pub Date : 2006-06-20 DOI: 10.1109/IMSCCS.2006.11
Yonggang Che, Zhenghua Wang
{"title":"A Lightweight Iterative Compilation Approach for Optimization Parameter Selection","authors":"Yonggang Che, Zhenghua Wang","doi":"10.1109/IMSCCS.2006.11","DOIUrl":"https://doi.org/10.1109/IMSCCS.2006.11","url":null,"abstract":"A key step in program performance optimization is to determine optimal values for certain parameters. Static approaches determine these values based on analytical models. However, complex computer architectures and complex code structures limit the strength of them. Execution-driven approaches like iterative compilation determine these parameter values by executing the program with different parameter values and select the one with the shortest runtime. These approaches can find excellent results for they accurately account for all machine and program components. But the expensive compilation cost has limited their application scope to embedded applications and a small group of math kernels. We propose a low cost iterative compilation approach Lega (limited execution and genetic algorithm) for scientific program optimization parameter selection. It consists of three components: (1)parameterizations to make use of the native compiler; (2) program reduction transformations to reduce the time spent on evaluating each parameter value; (3)genetic algorithm to accelerate the parameter search process. We apply Lega to three math kernels and three SPEC95 benchmarks on two platforms. Results show that Lega can find excellent parameters comparable to previous iterative methods in much shorter time. Its cost is 5.4% of the original iterative compilation for the three math kernels on average. And its cost is 47.22% of the original iterative compilation for the three SPEC95 benchmarks on average, although the latter uses training input set instead of reference input set for the search procedure","PeriodicalId":202629,"journal":{"name":"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125677132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Improving Grid Scheduling of Pipelined Data Processing by Combining Heuristic Algorithms and Simulated Annealing 结合启发式算法和模拟退火算法改进流水线数据处理的网格调度
First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06) Pub Date : 2006-06-20 DOI: 10.1109/IMSCCS.2006.79
Qingjiang Wang, Lin Zhang
{"title":"Improving Grid Scheduling of Pipelined Data Processing by Combining Heuristic Algorithms and Simulated Annealing","authors":"Qingjiang Wang, Lin Zhang","doi":"10.1109/IMSCCS.2006.79","DOIUrl":"https://doi.org/10.1109/IMSCCS.2006.79","url":null,"abstract":"To improve the performance of pipelined data processing on computational grids, the method combining simulated annealing with a set of heuristic algorithms is presented to optimize grid scheduling. Pipelined data processing is divided into multiple sub-applications, and every sub-application is supposed moldable. Thus, sub-applications should be assigned onto their appropriate grid nodes, while parallel degrees should be determined reasonably. On one grid node, sub-applications are supposed to spatially share processor resources, and a set of heuristic algorithms is presented to optimize parallel degrees for different performance parameters respectively, based on which simulated annealing is simplified for optimizing sub-application assignments. Experiments show that the throughput or latency of pipelined data processing can be efficiently improved by the optimization of grid scheduling","PeriodicalId":202629,"journal":{"name":"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124338546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A Mapping Methodology for Space-Time Adaptive Processing in Heterogeneous Processors Environment 异构处理器环境下时空自适应处理的映射方法
First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06) Pub Date : 2006-06-20 DOI: 10.1109/IMSCCS.2006.12
Yinbo Shao, Yongliang Wang, Qiang Li, Xuesu Xiao
{"title":"A Mapping Methodology for Space-Time Adaptive Processing in Heterogeneous Processors Environment","authors":"Yinbo Shao, Yongliang Wang, Qiang Li, Xuesu Xiao","doi":"10.1109/IMSCCS.2006.12","DOIUrl":"https://doi.org/10.1109/IMSCCS.2006.12","url":null,"abstract":"Space-time adaptive processing (STAP) is the key technology of new generation airborne digital signal processing systems. A major challenge in implementing STAP is to meet the real-time requirement while using fewer processors. To meet these requirements, a unified framework for STAP task mapping is developed. In this framework, a STAP task model is firstly brought forward, which exploits the fact that tasks in each stage are independent. Different types of processors are considered and a four-step task mapping methodology is developed. Experimental results show that our methodology can save processors while meeting real-time requirement","PeriodicalId":202629,"journal":{"name":"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116570827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A New Particle Model For Prediction Coding of Lossless Data Compression 一种新的无损数据压缩预测编码粒子模型
First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06) Pub Date : 2006-06-20 DOI: 10.1109/IMSCCS.2006.15
D. Shuai, Qing Shuai
{"title":"A New Particle Model For Prediction Coding of Lossless Data Compression","authors":"D. Shuai, Qing Shuai","doi":"10.1109/IMSCCS.2006.15","DOIUrl":"https://doi.org/10.1109/IMSCCS.2006.15","url":null,"abstract":"This paper presents a new generalized particle model (GPM) to generate the prediction coding for lossless data compression. Local rules for particle movement in GPM, parallel algorithm and its implementation structure to generate the desired predictive coding are discussed. The proposed GPM approach has advantages in terms of encoding speed, parallelism, scalability, simplicity, and easy hardware implementation over other sequential lossless compression methods","PeriodicalId":202629,"journal":{"name":"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)","volume":"52 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116565195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Real-time Visualization Based on Deformed X-ray Fluoroscopy 基于变形x射线透视的实时可视化
First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06) Pub Date : 2006-06-20 DOI: 10.1109/IMSCCS.2006.110
Wenqiang Zhang, Xuemei Huang, Liming Zhang
{"title":"Real-time Visualization Based on Deformed X-ray Fluoroscopy","authors":"Wenqiang Zhang, Xuemei Huang, Liming Zhang","doi":"10.1109/IMSCCS.2006.110","DOIUrl":"https://doi.org/10.1109/IMSCCS.2006.110","url":null,"abstract":"This paper is to highlight a concept for computer aided navigation system that uses fluoroscopic image as a basis for real-time surgical tools navigation. Unfortunately, the inherent distortion of the fluoroscopic image deteriorates the quality of surgical navigation. Combing with global and local correction methods, a novel approach for distortion correction is proposed which allows good image quality in relatively acceptable time. A linear cone beam projection model is setup, and the associate transformation that models the actual X-ray projection is calculated","PeriodicalId":202629,"journal":{"name":"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128812958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Feature Analysis and De-noising of MRS Data Based on Pattern Recognition and Wavelet Transform 基于模式识别和小波变换的磁流变数据特征分析与去噪
First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06) Pub Date : 2006-06-20 DOI: 10.1109/IMSCCS.2006.64
Guangbo Dong, Jian Ma, G. Xie, Zeng-qi Sun
{"title":"Feature Analysis and De-noising of MRS Data Based on Pattern Recognition and Wavelet Transform","authors":"Guangbo Dong, Jian Ma, G. Xie, Zeng-qi Sun","doi":"10.1109/IMSCCS.2006.64","DOIUrl":"https://doi.org/10.1109/IMSCCS.2006.64","url":null,"abstract":"De-noising the MRS data is a key processing in analysis of spectroscopy MRS data. This paper presents an effective method based on wavelet-transform and pattern recognition technologies. Upon the characteristics of MRS data, a new wavelet basis function was designed, and a de-noising method of free induction decay (FID) data using wavelet threshold to obtain better MRS spectrums was conduced; hence, the features of some cancers from MRS spectrums based on independent component analysis (ICA) and support vector machine (SVM) were extended. Comparing with the de-nosing effect using conventional wavelet basis functions, experiments were conducted to validate that the innovative feature extraction method employing ICA and a new wavelet filter set has higher and better performance. Experiments in this study were carried out on a small amount of real and low SNR dataset that obtained from the GE NMR device. The experimental results showed that the proposed de-nosing method improves its efficiency of feature extraction significantly","PeriodicalId":202629,"journal":{"name":"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128278643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Membership Dependable Failure Detectors 可靠的故障检测器
First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06) Pub Date : 2006-06-20 DOI: 10.1109/IMSCCS.2006.86
Jingcheng Zhang, Jiaqiang Zhu, Jihong Zhu
{"title":"Membership Dependable Failure Detectors","authors":"Jingcheng Zhang, Jiaqiang Zhu, Jihong Zhu","doi":"10.1109/IMSCCS.2006.86","DOIUrl":"https://doi.org/10.1109/IMSCCS.2006.86","url":null,"abstract":"In this paper we extend the function of group membership to cover whether a process is correct or not with respect to specification. We introduce the concept of (m, n) reliable membership failure detectors and formally define three failure detector classes PMD diam PMD and WMD in terms of their ability to implement reliable group membership services. We show that the perfect failure detectors and eventually perfect failure detectors are sub classes of (0, 0) PMD and (0, 0) WMD respectively in systems subject to only crash failures. Combining muteness failure detectors with the modular approach introduced for Byzantine systems, we propose a failure detector called RMSFD. By studying its reliability property, we prove that RMSFD is a failure detector of (0, 0) WMD","PeriodicalId":202629,"journal":{"name":"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126405006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Development Framework for Collaborative Applications Based on the Access Grid 基于访问网格的协同应用开发框架
First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06) Pub Date : 2006-06-20 DOI: 10.1109/IMSCCS.2006.4
Yingjie Xia, Yao Zheng, X. Zhu, C. Kong
{"title":"A Development Framework for Collaborative Applications Based on the Access Grid","authors":"Yingjie Xia, Yao Zheng, X. Zhu, C. Kong","doi":"10.1109/IMSCCS.2006.4","DOIUrl":"https://doi.org/10.1109/IMSCCS.2006.4","url":null,"abstract":"Developing collaborative applications presents a challenge in solving the communication and synchronization problems. In this paper, we introduce a framework created to assist the developers. The framework takes the advantage of the access grid (AG) components, venue server, venue client and event channel, aiming to build a collaborative environment. In addition, the framework contains two user interface components, a wizard providing an interface to import new applications, and a main frame listing all the applications developed upon the framework. For a testing task, we implemented some collaborative applications using this framework. And the examples demonstrate that the framework enables the users to develop collaborative applications conveniently and efficiently","PeriodicalId":202629,"journal":{"name":"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125265460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Fast Measurement of Human Face and Disposal of Measured Points 人脸快速测量与测点处理
First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06) Pub Date : 2006-06-20 DOI: 10.1109/IMSCCS.2006.63
Jian Li, Minghe Li, Ying Zheng, Jianwen Wang
{"title":"Fast Measurement of Human Face and Disposal of Measured Points","authors":"Jian Li, Minghe Li, Ying Zheng, Jianwen Wang","doi":"10.1109/IMSCCS.2006.63","DOIUrl":"https://doi.org/10.1109/IMSCCS.2006.63","url":null,"abstract":"A fast measurement method of human face and a data disposal algorithm to filter noise in the measured points of human face are proposed in this paper. The components and working principle of the measurement system are first analyzed, which uses double CCD (charge coupled device) and line laser as the measurement devices to improve the measuring speed and avoid the measuring blind zone. Then the fuzzy weighted average filtering algorithm is introduced to filter noise in the measured data. Different from the average and median filtering algorithms, the algorithm proposed uses fuzzy membership idea to optimize the weights of the neighboring points by iteration method and achieves a better filtering effect. The effectiveness of the measurement system and the filtering method are verified through the measurement of a human face and comparison between the disposal results of the proposed method and other methods","PeriodicalId":202629,"journal":{"name":"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121538225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Reliable and Efficient Data Transfer Protocol Based on UDP in Cluster System 基于UDP的集群系统中可靠高效的数据传输协议
First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06) Pub Date : 2006-06-20 DOI: 10.1109/IMSCCS.2006.113
Jigang Wang, Guochang Gu, Shibo Xie, Lifeng Xu
{"title":"Reliable and Efficient Data Transfer Protocol Based on UDP in Cluster System","authors":"Jigang Wang, Guochang Gu, Shibo Xie, Lifeng Xu","doi":"10.1109/IMSCCS.2006.113","DOIUrl":"https://doi.org/10.1109/IMSCCS.2006.113","url":null,"abstract":"In cluster system, a fast communication mechanism is absolutely necessarily. This paper deeply studies existing problems and limitation of primary data transfer protocols at present, proposes a reliable and efficient data transfer protocol based on UDP, also provides an analytical model to predict REUDP's performance. REUDP make efforts to enhance the ability of cluster system communication under assured reliability. Theoretic analysis shows that REUDP can guarantee network reliability and high-speed bulk data transfer. Experiment results show that REUDP performs extremely efficiently over high speed dedicated networks and our model is able to provide good estimates of its performance","PeriodicalId":202629,"journal":{"name":"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121977247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信