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The resource-constrained modulo scheduling problem: An experimental study

机译:资源受限的模调度问题:一项实验研究

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摘要

In this paper, we focus on the resource-constrained modulo scheduling problem (RCMSP), a general periodic scheduling problem, abstracted from the problem solved by compilers when optimizing inner loops at instruction level for VLIW parallel processors. Heuristic solving scheme have been proposed since many years to solve this problem, among which the decomposed software pipeling method. In this method, a cyclic scheduling problem ignoring resource constraints is first considered and a so-called legal retiming of the operations is issued. Second, a standard acyclic problem, taking this retiming as input, is solved through list scheduling techniques. In this paper, we propose a novel hybrid approach, which uses the decomposed software pipeling method to obtain a good retiming. Then the obtained retiming is used to build an integer linear programming formulation of reduced size, which allows to solve it exactly. Experimental results show that a lot more problems are solved with this new approach. The gap to the optimal solution is less than 1 % on most of the tested problem instances and the method appears to be competitive with a recently proposed constraint programming algorithm (Bonfietti et al., Lect. Notes Comput. Sci. 6876:130-144, 2011).
机译:在本文中,我们专注于资源约束的模调度问题(RCMSP),这是一个常规的周期性调度问题,它是在VLIW并行处理器的指令级优化内部循环时从编译器解决的问题中抽象出来的。为了解决这个问题,多年来提出了启发式求解方案,其中包括可分解的软件流水线方法。在这种方法中,首先考虑了忽略资源约束的循环调度问题,并发布了所谓的操作合法重定时。其次,通过列表调度技术解决了以重新计时为输入的标准非循环问题。在本文中,我们提出了一种新颖的混合方法,该方法使用分解的软件管道方法来获得良好的重定时。然后,将获得的重定时用于构建尺寸减小的整数线性规划公式,从而可以精确求解。实验结果表明,使用这种新方法可以解决更多问题。在大多数测试的问题实例中,最佳解决方案的差距小于1%,该方法似乎与最近提出的约束规划算法具有竞争性(Bonfietti等人,Lect。Notes Comput。Sci。6876:130-144 ,2011)。

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