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学术报告 - Cloud, Multicore, and Scalability

发布日期:  2010/06/02  刘华   浏览次数: 部门: 未知   返回

高性能计算及应用专题研讨会
Seminar on High Performance Computing and Applications
017

报 告 人:孙贤和博士
               美国IIT计算机系教授、上海大学兼职教授、高性能计算国际知名专家

报告时间:6月23日(周一)15:00~16:30

报告地点:上海大学延长校区行健楼707室

 

报告简介:Supercomputing has received long-missed intensive attentions from industry and academia recently. This renewed interest is due to two new developments in computing: Cloud computing and multicore/manycore systems. Cloud computing uses a cloud of computers, usually a cluster of supercomputers, and Grid technology to provide virtual computers on demand. Multicore/manycore processors put many cores into one chip to overcome the physical constraints of a single processor and deliver high computing power on one chip. Cloud computing requires huge computing power to meet ever increasing users’ demand, whereas multicore/manycore systems make parallel processing a norm of computing. Both of them, however, face the scalability issue: how to scale up the capacity? In this talk we first introduce the concept and motivation of Cloud computing and multicore/manycore architecture, discuss the difference between Grid and Cloud computing. Then we study scalability issues, especially the scalability of multicore/manycore architectures. We conclude with an identified scalability bottleneck and its corresponding suggested solutions.

报告人简介:Dr. Xian-He Sun is a professor of computer science and the director of the Scalable Computing Software laboratory at Illinois Institute of Technology (IIT), and is a guest faculty in the Mathematics and Computer Science Division and Computing Division at the Argonne and Fermi National Laboratory, an adjunct professor of Shanghai University, respectively. Before joining IIT, he worked at DoE Ames National Laboratory, at ICASE, NASA Langley Research Center, at Louisiana State University, Baton Rouge, and was an ASEE fellow at Navy Research Laboratories. Dr. Sun"s research interests include parallel and distributed processing, software systems, performance evaluation, and high-end computing.


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