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Multiterminal net routing for partial crossbar-based multi-FPGA systems

机译:用于基于部分交叉开关的多FPGA系统的多终端网络路由

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摘要

Multi-FPGA (field-programmable gate arrays) systems are used as custom computing machines to solve compute-intensive problems and also in the verification and prototyping of large circuits. In this paper, we address the problem of routing multiterminal nets in a multi-FPGA system that uses partial crossbars as interconnect structures. First, we model the multiterminal routing problem as a partitioned bin-packing problem and formulate it as an integer linear programming problem where the number of variables is exponential. A fast heuristic is applied to compute an upper bound on the routing solution. Then, a column generation technique is used to solve the linear relaxation of the initial master problem in order to obtain a lower bound on the routing solution. This is followed by an iterative branch-and-price procedure that attempts to find a routing solution somewhere between the two established bounds. In this regard, the proposed algorithm guarantees an exact-routing solution by searching a branch-and-price tree. Due to the tightness of the bounds, the branch-and-price tree is small resulting in shorter execution times. Experimental results are provided for different netlists and board configurations in order to demonstrate the algorithms performance. The obtained results show that the algorithm finds an exact routing solution in a very short time.
机译:Multi-FPGA(现场可编程门阵列)系统被用作定制计算机,以解决计算密集型问题,以及大型电路的验证和原型设计。在本文中,我们解决了在使用部分交叉开关作为互连结构的多FPGA系统中路由多终端网络的问题。首先,我们将多终端路由问题建模为分区装箱问题,并将其表述为变量数量为指数的整数线性规划问题。快速启发式方法用于计算路由解决方案的上限。然后,使用列生成技术来解决初始主问题的线性松弛,以获得路由解的下界。接下来是一个迭代的分支和价格过程,该过程试图在两个已建立边界之间的某个地方找到路由解决方案。在这方面,提出的算法通过搜索分支和价格树来保证精确的路由选择。由于边界的紧密性,分支和价格树很小,从而缩短了执行时间。提供了针对不同网表和电路板配置的实验结果,以证明算法的性能。所得结果表明,该算法可以在很短的时间内找到精确的路由解决方案。

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