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A buffer minimization problem for the design of embedded systems

机译:嵌入式系统设计中的缓冲区最小化问题

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We consider a set of tasks, each of them is composed by a set of sequential operations, and a set of buffers. Each buffer b is defined between two tasks T-i and T-j, and is managed as a FIFO structure. Some operations from T-i write data to the buffer b, others from T-j get data from b.The writings and readings generate precedence constraints between the operations. The limitation of the size of the buffers generates another set of precedence constraints between them and circuits in the precedence graph may appear. In this case. there is no feasible schedule for the operations. The aim is to determine the size of each buffer such that the global surface of the buffers is minimized and there is no circuit in the precedence graph. We prove that this problem is polynomial for two tasks using a flow algorithm.We also prove that it is NP-complete in the strong sense for three tasks. (C) 2004 Elsevier B.V. All rights reserved.
机译:我们考虑一组任务,每个任务由一组顺序操作和一组缓冲区组成。每个缓冲器b被定义在两个任务T-i和T-j之间,并且被作为FIFO结构来管理。 T-i的某些操作将数据写入缓冲区b,T-j的其他操作从b获取数据。写入和读取会在操作之间产生优先约束。缓冲区大小的限制在它们之间产生了另一组优先约束,并且优先级图中的电路可能会出现。在这种情况下。没有可行的时间表。目的是确定每个缓冲区的大小,以使缓冲区的全局表面最小化,并且优先级图中没有电路。我们使用流算法证明了这个问题对于两个任务是多项式的,对于三个任务,我们也证明了它是NP完全的。 (C)2004 Elsevier B.V.保留所有权利。

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