Nanometer Device Scaling in Subthreshold Logic and SRAM

Abstract

Subthreshold circuit design is promising for future ultralow-energy sensor applications as well as highly parallel high-performance processing. Device scaling has the potential to increase speed in addition to decreasing both energy and cost in subthreshold circuits. However, no study has yet considered whether device scaling to 45 nm and beyond will be beneficial for subthreshold logic. We investigate the implications of device scaling on subthreshold logic and SRAM and And that the slow scaling of gate-oxide thickness leads to a 60% reduction in I <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">on</sub> /I <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">off</sub> between the 90- and 32-nm device generations. We highlight the effects of this device degradation on noise margins, delay, and energy. We subsequently propose an alternative scaling strategy and demonstrate significant improvements in noise margins, delay, and energy in sub-V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sub> circuits. Using both optimized and unoptimized subthreshold device models, we explore the robustness of scaled subthreshold SRAM. We use a simple variability model and find that even small memories become unstable at advanced technology nodes. However, the simple device optimizations suggested in this paper can be used to improve nominal read noise margins by 64% at the 32-nm node.