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A Method for improved final placement employing branch-and-bound with hierarchical placement encoding and tightened bounds

机译:一种改进使用分支和绑定的分支和绑定边界的分支和绑定的方法

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A new method employing branch-and-bound for improved final placement is presented for the final step of detailed placement problem where the objective is to optimize (and tradeoff) total bounding box wirelength and timing. First, we view the placement of a cell as a bit-sequence which hierarchically encodes the procedure of constraining the cell to an exact location (exact row and column). Such bit sequences indicate a recursive dissection of the layout area. We argue that the search strategy indicated by the placement encoding has compelling advantages over typical ones in terms of search efficiency. Second, the branch-and-bound method with hierarchical placement encoding can inherently expose the possibly improved configurations and provide a mechanism for exploiting the abundant opportunities for tradeoffs between different design objectives. Our experiments start with the placements of 12 of the largest MCNC benchmarks from VPR, iteratively extract and release parts of the cells to larger regions (that defines the search space) and optimally (or nearly optimally) place these cells with respect to the search space. The experiments show that the wire length of the placements can be improved 11% on average with simultaneous reduction in the critical path delay of the routed placements (6.3% on average).
机译:为改进的最终位置采用分支和绑定的新方法是为了优化(和折衷)总边界和时序的详细放置问题的最终步骤。首先,我们将单元格的位置视为分层地将单元格(精确行和列)约束到确切位置的步骤序列的位置。这种比特序列表示布局区域的递归解剖。我们认为,在搜索效率方面,放置编码指示的搜索策略具有较强的典型优势。其次,具有分层放置编码的分支和拟合方法可以本质地暴露可能改进的配置,并提供了一种利用不同设计目标之间的权衡的丰富机会的机制。我们的实验从VPR,迭代地提取和释放细胞的最大MCNC基准测试中的12个放置到较大的区域(定义搜索空间),并且最佳地(或几乎最佳地)将这些小区相对于搜索空间放置(或几乎最佳地) 。实验表明,展示局部的线长度可以平均提高11%,同时降低路线放置的关键路径延迟(平均为6.3%)。

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