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2篇 您的检索式:作者名="LISanli"
    题名 作者 年代 出处 被引量
1RAID-M:A high performance RAID Matrix mass storage显示文摘In the light of the increasingly serious I/O bottleneck problem, the paper puts forward a method named RAID-M (RAID Matrix) to build high performance mass storage from cheap PC components based on the idea of multi-channel I/O and parallel access. Theoretical analyses prove that different RAID-M configurations vary their performance, space utilization and reliability, meeting various application goals. Experiments show that both the sequential read performance and sequential write performance of a RAID-M prototype machine have broken through the limitation of 32 bit/33 MHz PCI bus.LIUPeng LISanli FrancisC.M.Lau SHIYao HUANGFeng 2005Science in China(Series F)2005,48,4:1
2Web-Oriented Visual Performance Analysis Tool for HPC: THPTiii显示文摘Improving the low efficiency of most parallel applications with performance tool is an important issue in high performance computing. Performance tool, which usually collects and analyzes performance data, is an effective way of improving performance. This paper explores both the collecting and analysis of performance data, and two innovation ideas are proposed: both types of runtime performance data, concerning both system load and application behavior, should be collected simultaneously, which requires multiple instrument flow and low probing cost; and the performance analysis should be Weboriented, which can exploit the excellent portability and usability brought by Internet. This paper presents a Weboriented HPC (High performance computing) performance tool, which can collect information about both resource utilization, including the utilizing ratio of CPU and memory, and the program behavior during runtime, including the statuses such as sending and computing, and visualize the information in the users' browser window with JAVA applets in multiple filters and multiple views. Furthermore, this performance tool exposes the data dependency between components and provides an entry of task scheduling. With this performance tool, programmers can monitor the runtime state of the application, analyze the relationship between program process and system load, find out the performance bottleneck, and improve the performance of the application at last.SHIPeizhi LISanli 2003Chinese Journal of Electronics2003,12,4:0
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