童维勤
并行程序设计方法和编译技术、高性能计算技术及其应用
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- 姓名:童维勤
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学术头衔:
博士生导师
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学科领域:
计算机软件
- 研究兴趣:并行程序设计方法和编译技术、高性能计算技术及其应用
童维勤,男,1964年12月22日生,浙江兰溪人。
1995年3月毕业于上海交通大学计算机系,计算机软件专业,获工学博士学位。1987年5月、1984年7月于南京理工大学计算机系分获工学硕士、工学学士学位。1991年至1993年在香港中文大学计算机 系访问研究。1995年起任教于上海大学。
童维勤教授主要研究方向为并行程序设计方法和编译技术、高性能计算技术及其应用。曾获1997年上海市高等学校优秀青年教师,1998年宝钢优秀教师奖,1998年、1999年Intel优秀教师。1999年当选上海市科学技术委员会"青年科技启明星",2000年当选上海市教育委员会"曙光学者"。获2001年度上海市科技进步一等奖,是中国计算机学会软件工程专业委员会委员, YOCSEF上海主席, 《上海大学学报》(英文版)编委会委员,GCC,ApWeb等国际会议程序委员会委员。曾负责国家自然科学基金、上海市教委、上海市科委等多项国家及省部级科研项目。发表论文40余篇。
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【期刊论文】Hybrid Performance Modeling and Analyzing of Parallel System
童维勤, Bin Cheng;Weiqin Tong;Xingang Wang
International Journal of Numerical Analysis & Modeling,-0001,():
-1年11月30日
Performance is a key feature of parallel system. However, there is a great gap between the peak performance and performance attainable by a practical application. The model-based performance evaluation may be used to support the performance-oriented program development for parallel system. In this paper a hybrid TCPN model is proposed to describe the parallel program and the resources respectively. This method can bring less effect to modify the program structure because of running environment changes. And the performance engineering activities based on this model ranges from performance prediction in early development stages, performance analysis in the coding phase, to locate the performance bottleneck and modify it. After the correctness verification of the TCPN model, a reachable graph can be got. Then the further performance-tuning can be done by summing the execution time of corresponding action in the critical path
formal method, parallel system, Timed Coloured Petri Net
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童维勤, Xiaodong Liu, Weiqin Tong, Xiaoli Zhi, Fu ZhiRen, Liao WenZhao
The Journal of Supercomputing,-0001,():
-1年11月30日
Cloud computing is a novel paradigm for the provision of service on demand. Through the use of virtualization, physical resources are converted into “resources pool” which provides service on demand. Due to the complexity and diversity of user requests of the cloud computing system, its performance is difficult to model and analyze. Although there are some researches on cloud service performance, very few of them addressed the issues of resources sharing among VMs and its impact on service performance. This paper presents a model for performance analysis of cloud services. The model considers the resources sharing among VMs. In addition, various types of failures, such as VMs failures, physical servers failures and network failures are also considered. The service requests are also relaxed compared with prior research. A service request is divided into many subtasks and each subtask consists of a series of data processing and transmission. The average service time of service requests is obtained. And a numerical example is presented.
Cloud computing , Performance analysis, Queuing theory, Service time
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【期刊论文】Improving grid service's QoS through self-configuring regulation
童维勤, Xiaoli Zhi a, *, Lu Rong b, Weiqin Tong a
Engineering Applications of Artificial Intelligence 17(2004)701-710,-0001,():
-1年11月30日
A new regulation based approach is proposed to improve grid resource services' quality of service (QoS). The main idea of regulation and some typical regulation algorithms are described. To automatically adapt a regulation system to the changing runtime environment. a self-configuring mechanism based on the computation of fitness is introduced. The goal of self-configuring regulation is to provide a virtual grid resource service with improved QoS to best satisfy users' requirements on the basis of resource services with lower QoS.
Gird service, QoS, Improvement, Regulation, Self-configuring
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