N7-N5低功耗高密度金属堆叠优化

P. Raghavan., F. Firouzi, L. Matti, P. Debacker, R. Baert, S. M. Y. Sherazi, D. Trivkovic, V. Gerousis, M. Dusa, J. Ryckaert, Z. Tokei, D. Verkest, G. McIntyre, K. Ronse
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引用次数: 6

摘要

将逻辑缩小到N7和N5的关键挑战之一是对金属堆栈的自对齐多模式的要求。这带来了很大的后端成本,因此需要仔细的堆栈优化。堆栈中的各个层有不同的用途,因此它们的间距和层数的选择是至关重要的。此外,在N7或N5的超大尺度下,从多个LE, EUV到SADP/SAQP的模式选择数量也要大得多。正确的选择这些也需要图形技术,使用全光栅的电线,如SADP/SAQP技术引入高水平的金属假人的设计。这意味着对设计有很大的电容损失,因此具有很大的性能和功率损失。这通常可以通过额外的屏蔽策略得到缓解。本文讨论了从标准单元级一直到路由的金属堆栈优化的整体视图以及该空间存在的相应权衡。
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Metal stack optimization for low-power and high-density for N7-N5
One of the key challenges while scaling logic down to N7 and N5 is the requirement of self-aligned multiple patterning for the metal stack. This comes with a large cost of the backend cost and therefore a careful stack optimization is required. Various layers in the stack have different purposes and therefore their choice of pitch and number of layers is critical. Furthermore, when in ultra scaled dimensions of N7 or N5, the number of patterning options are also much larger ranging from multiple LE, EUV to SADP/SAQP. The right choice of these are also needed patterning techniques that use a full grating of wires like SADP/SAQP techniques introduce high level of metal dummies into the design. This implies a large capacitance penalty to the design therefore having large performance and power penalties. This is often mitigated with extra masking strategies. This paper discusses a holistic view of metal stack optimization from standard cell level all the way to routing and the corresponding trade-off that exist for this space.
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