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Memory and I/O optimized rectilinear steiner minimum tree routing for VLSI

机译:内存和I / O优化的直线施泰纳最小树路由为VLSI

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As the size of devices are scaling down at rapid pace, the interconnect delay play a major part in performance of IC chips. Therefore minimizing delay and wire length is the most desired objective. FLUTE (Fast Look-Up table) presented a fast and accurate RSMT (Rectilinear Steiner Minimum Tree) construction for both smaller and higher degree net. FLUTE presented an optimization technique that reduces time complexity for RSMT construction for both smaller and larger degree nets. However for larger degree net this technique induces memory overhead, as it does not consider the memory requirement in constructing RSMT. Since availability of memory is very less and is expensive, it is desired to utilize memory more efficiently which in turn results in reducing I/O time (i.e. reduce the number of I/O disk access). The proposed work presents a Memory Optimized RSMT (MORSMT) construction in order to address the memory overhead for larger degree net. The depth-first search and divide and conquer approach is adopted to build a Memory optimized tree. Experiments are conducted to evaluate the performance of proposed approach over existing model for varied benchmarks in terms of computation time, memory overhead and wire length. The experimental results show that the proposed model is scalable and efficient.
机译:随着器件的大小以快速速度缩小,互连延迟在IC芯片的性能下发挥主要部分。因此,最小化延迟和线长度是最期望的目标。长笛(快速查找表)为较小且更高的净呈现出快速准确的RSMT(直线静脉最小树)结构。长笛提出了一种优化技术,可降低RSMT施工的时间复杂度,均为较小和较大的网络。然而,对于更大的网络,该技术引起内存开销,因为它不考虑构造RSMT的内存要求。由于存储器的可用性非常少并且是昂贵的,因此希望更有效地利用内存,这导致I / O Time(即减少I / O磁盘访问的数量)。所提出的工作介绍了内存优化RSMT(Morsmt)构造,以便在更大的净网络上解决内存开销。采用深度首先搜索和划分和征服方法来构建内存优化树。进行实验以评估在计算时间,记忆开销和线长度的变化基准的现有模型上提出方法的性能。实验结果表明,所提出的模型是可扩展和有效的。

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