Floorplan And Placement Methodology For Improved Energy Reduction In Stacked Power-Domain Design

2017 22ND ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE (ASP-DAC)(2017)

引用 13|浏览43
暂无评分
摘要
Energy and battery lifetime constraints are critical challenges to IC designs. Stacked power-domain implementation, which stacks voltage domains in a design, can effectively improve the power delivery efficiency and thus improve battery lifetime. However, such an approach requires balanced current between different domains across multiple operating scenarios. Furthermore, level shifter insertion (together with shifters' delay impacts), along with placement constraints imposed by power domain regions, can incur power and area penalties. To our knowledge, no existing work performs sub-block-level partitioning optimization for stacked-domain designs. In this paper, we present an optimization framework for stacked-domain designs. Based on an initial placement solution, we apply a flow-based partitioning that is aware of multiple operating scenarios, cell placement, and timing-critical paths to partition cells into two power domains with balanced current and minimized number of inserted level shifters. We further propose heuristics to define regions for each power domain so as to minimize placement perturbation, as well as a dynamic programming-based method to minimize the area cost of power domain generation. In an updated floorplan, we perform matching-based optimization to insert level shifters with minimized wirelength penalty. Overall, our method achieves more than similar to 10% and 3X battery lifetime improvements in function and sleep modes, respectively.
更多
查看译文
关键词
stacked power-domain design,energy reduction improvement,placement methodology,floorplan methodology,battery lifetime constraints,energy lifetime constraints,IC designs,multiple operating scenarios,level shifter insertion,shifter delay impacts,power penalties,area penalties,sub-block-level partitioning optimization,flow-based partitioning,power domain generation,area cost minimization,dynamic programming,matching-based optimization
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要