Performance Analysis for Heterogeneous & Reconfigurable Computing Based on Scheduling
Автор: Yiming Tan, Guosun Zeng, Shuixia Hao
Журнал: International Journal of Education and Management Engineering(IJEME) @ijeme
Статья в выпуске: 3 vol.1, 2011 года.
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Right now, heterogeneous & reconfigurable computing is a research hot in the area of high performance computing. Due to the heterogeneity of application tasks and reconfigurability of system architecture, performance analysis for heterogeneous & reconfigurable computing becomes rather difficult. Unfortunately, the existing techniques and methods are no longer suitable for use. This paper presents a performance analysis method based on task scheduling. It builds on system architecture model and task model of heterogeneous & reconfigurable computing. By making use of heterogeneity matching matrix and reconfigurability coupling matrix we achieve optimal selection and matching between computational tasks and processing units. Through task scheduling algorithm, the completion time of application task run on heterogeneous & reconfigurable computing system can be calculated. Finally, we carry out case study.
Component, heterogeneous & reconfigurable computing, performance analysis, heterogeneity matching matrix, reconfigurability coupling matrix
Короткий адрес: https://sciup.org/15013591
IDR: 15013591
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