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Scheduling of Tasks with Precedence Delays and Relative Deadlines - Framework for Time-optimal Dynamic Reconfiguration of FPGAs

机译:优先延迟和相对截止日期的任务调度 - FPGA时最佳动态重新配置的框架

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This paper is motivated by existing architectures of field programmable gate arrays (FPGAs). To facilitate the design process we present an optimal scheduling algorithm using a very universal framework, where tasks are constrained by precedence delays and relative deadlines. The precedence relations are given by an oriented graph, where tasks are represented by nodes. Edges in the graph are related either to the minimum time or to the maximum time elapsed between the start times of the tasks. This framework is used to model the runtime dynamic reconfiguration, synchronization with an on-chip processor and simultaneous availability of arithmetic units and SRAM memory. The NP-hard problem of finding an optimal schedule satisfying the timing and resource constraints while minimizing the makespan C{sub}max, is solved using two approaches. The first one is based on Integer Linear Programming and the second one is implemented as a Branch and Bound algorithm. Experimental results show the efficiency comparison of the ILP and Branch and Bound solutions.
机译:本文是由现有的现场可编程门阵列(FPGA)的现有架构的动机。为了便于设计过程,我们使用非常普遍的框架介绍了最佳调度算法,其中任务受到优先延迟和相对截止日期的约束。优先关系由面向的图形给出,其中任务由节点表示。图中的边缘与任务的开始时间之间的最小时间或最大时间相关。该框架用于模拟运行时动态重新配置,与片上处理器同步,并同时提供算术单元和SRAM存储器。找到满足定时和资源约束的最佳时间表的NP难题,同时使用两种方法解决了最小化MakEspan C {Sub} Max。第一个基于整数线性编程,第二个是由分支和绑定算法实现。实验结果表明,ILP和分支和结合解决方案的效率比较。

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