Design automation methodology for improving the variability of synthesized digital circuits operating in the sub/near-threshold regime

Joseph Crop, R. Pawlowski, N. M. Madani, J. Jackson, P. Chiang
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引用次数: 13

Abstract

Ultra-low power digital circuit design using sub-threshold supply voltages has recently been popularized for energy-constrained systems, sensor networks and bio-sensor applications. The conventional method to improve digital circuit operation in the sub-threshold region is to design every logic cell manually, requiring complete re-design and re-characterization for every process node. This proposed work introduces a computational design automation that tests every cell in a standard cell library for proper operation in the sub-threshold region, eliminating cells that perform poorly. The result of this culling process is improved sub-/near-threshold operation for any standard cell library, improving delay, area, and energy. Monte-Carlo simulation results of a synthesized 90nm-CMOS Floating-Point Adder verifies improved mean timing delay (32%) and overall energy per computation (37%) of the culled standard cell library design over a regular synthesized design.
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设计自动化方法,以改善在亚/近阈值状态下工作的合成数字电路的可变性
采用亚阈值供电电压的超低功耗数字电路设计最近在能量受限系统、传感器网络和生物传感器应用中得到了推广。提高亚阈值区域数字电路运行的传统方法是手工设计每个逻辑单元,需要对每个工艺节点进行完全的重新设计和重新表征。这项工作引入了一种计算设计自动化,可以测试标准细胞库中的每个细胞在亚阈值区域的正常运行,从而消除表现不佳的细胞。这种剔除过程的结果是改进了任何标准单元库的亚/近阈值操作,改善了延迟、面积和能量。一个合成的90nm-CMOS浮点加法器的蒙特卡罗仿真结果验证了与常规合成设计相比,经过筛选的标准单元库设计提高了平均时间延迟(32%)和每次计算的总能量(37%)。
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