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可重构处理器多任务并发调度（Reconfigurable processor, multitask, concurrent scheduling）.doc

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可重构处理器多任务并发调度（Reconfigurable processor, multitask, concurrent scheduling）

可重构处理器多任务并发调度（Reconfigurable processor, multitask, concurrent scheduling） Data worth having From the usual study, accumulation and summary Where there is a problem, there must be some Please also criticize and correct me! Research on concurrent task scheduling in coarse grained dynamic reconfigurable processor Fonda (School of communication and information engineering, University of Electronic Science and technology of China, Chengdu 611731) Abstract: using scheduling algorithm to reduce the reconfiguration time and improve the ability to perform concurrent tasks is an important way to improve the operation speed of reconfigurable digital systems Based on the common architecture of coarse grained dynamic reconfigurable processor The mathematical model of concurrent task scheduling for coarse grained dynamic reconfigurable processor is studied Through mathematical deduction The two key factors that affect the processing speed of dynamic reconfigurable processor executing concurrent tasks, namely the total number of PE needed and the total number of tasks loaded, are pointed out Two key factors affecting the speed of processing are discussed The performance of the corresponding scheduling algorithms under two extreme conditions is compared Simulation results show that the execution time is long The scheduling algorithm improves the performance of the system less than the configuration time Keywords: coarse granularity; dynamic reconfigurable; concurrent task; scheduling algorithm CLC number TP302, document identifier A Scheduling, Algorithm, of, Concurrent, Tasks, in, Dynamic, Coarse-grained, Processors, Reconfigurable Fang Da (School, of, Communication, and, Information, University, of, Electronic, Science,, and, Technology, of, China, Chengdu, etc) Abstract:One of the important ways to accelerate the operation of reconfigurable digital systems is to make use of scheduling alorithm so as to reduce reconfiguring time and to increase processing capacity. Based on the g