三维集成电路中基于网络流算法的泄漏感知性能驱动tsv规划

Kan Wang, Sheqin Dong, Yuchun Ma, S. Goto, J. Cong
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引用次数: 1

摘要

3D集成电路由于缩短了互连距离和提高了性能而成为一种有吸引力的技术。然而,它面临着严重的散热和温度问题。高温会增加互连延迟,导致性能下降。硅通孔(TSV)是一种有效的优化热分布的方法。然而,tsv的分布会潜在地影响互联延迟。本文提出了一种性能驱动的3D TSV规划(3D- pstp)算法,该算法可以生成良好的TSV分布,从而提高温度。考虑泄漏功率-温度-延迟关系,分析了热效应对关键路径延迟的影响。基于优先级的TSV重分配算法和基于网络流的信号通过分配算法在不增加温度的情况下提高TSV数量和关键路径延迟。实验结果表明,该方法可将总通道数提高8.9%,将关键路径延迟降低15.8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leakage-aware performance-driven TSV-planning based on network flow algorithm in 3D ICs
3D IC has become an attractive technology as it decreases interconnection distance and improves performance. However, it is faced with heat dissipation and temperature problem seriously. The high temperature will increase the interconnection delay, and lead to degradation of performance. Through-silicon-via (TSV) has been shown as an effective way to optimize heat distribution. However, the distribution of TSVs will potentially influence the interconnection delay. In this paper, we propose a performance-driven 3D TSV-planning (3D-PTSP) algorithm, which can generate good TSV distribution, to improve temperature. The thermal effects on critical path delay are analyzed with leakage power-temperature-delay dependence considered. A priority based TSV redistribution algorithm and network flow based signal via allocation algorithm help to improve both TSV number and critical path delay without increasing temperature. Experimental results show that the proposed method can improve total via number by 8.9% and reduce critical path delay by 15.8%.
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