Author : Alexandra Lackmann-Zimpeck
Release : 2019
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Circuit-level Approaches to Mitigate the Process Variability and Soft Errors in FinFET Logic Cells - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Circuit-level Approaches to Mitigate the Process Variability and Soft Errors in FinFET Logic Cells write by Alexandra Lackmann-Zimpeck. This book was released on 2019. Circuit-level Approaches to Mitigate the Process Variability and Soft Errors in FinFET Logic Cells available in PDF, EPUB and Kindle. Process variability mitigation and radiation hardness are relevant reliability requirements as chip manufacturing advances more in-depth into the nanometer regime. The parameter yield loss and critical failures on system behavior are the major consequences of these issues. Some related works explore the influence of process variability and single event transients (SET) on the circuits based on FinFET technologies, but there is a lack of approaches to mitigate them. For these reasons, from a design standpoint, considerable efforts should be made to understand and reduce the impacts introduced by reliability challenges. In this regard, the main contributions of this PhD thesis are to: 1) investigate the behavior of FinFET logic cells under process variations and radiation effects; 2) evaluate four circuit-level approaches to attenuate the impact caused by work-function fluctuations (WFF) and soft errors (SE); 3) provide an overall comparison between all techniques applied in this work; 4) trace a trade-off between the gains and penalties of each approach regarding performance, power, area, SET cross-section, and SET pulse width. Transistor reordering, decoupling cells, Schmitt Triggers, and sleep transistors are the four circuit-level mitigation techniques explored in this work. The potential of each one to make the logic cells more robust to the process variability and radiation-induced soft errors are assessed comparing the standard version results with the design using each approach. This PhD thesis also establishes the mitigation tendency when different levels of variation, transistor sizing, and radiation particles characteristics such as linear energy transfer (LET) are applied in the design with these techniques.The process variability is evaluated through Monte Carlo (MC) simulations with the WFF modeled as a Gaussian function using SPICE simulation while the SE susceptibility is estimated using the radiation event generator tool MUSCA SEP3 (developed at ONERA) also based on a MC method that deals both with radiation environment characteristics, layout features and the electrical properties of devices. In general, the proposed approaches improve the state-of-the-art by providing circuit-level options to reduce the process variability effects and SE susceptibility, at fewer penalties and design complexity. The transistor reordering technique can increase the robustness of logic cells under process variations up to 8%, but this method is not favorable for SE mitigation. The insertion of decoupling cells shows interesting outcomes for power variability control with levels of variation above 4%, and it can attenuate until 10% the delay variability considering manufacturing process with 3% of WFF. Depending on the LET, the design with decoupling cells can decrease until 10% of SE susceptibility of logic cells. The use of Schmitt Triggers in the output of FinFET cells can improve the variability sensitivity by up to 50%. The sleep transistor approach improves the power variability reaching around 12% for WFF of 5%, but the advantages of this method to delay variability depends how the transistors are arranged with the sleep transistor in the pull-down network. The addition of a sleep transistor become all logic cells studied free of faults even at the near-threshold regime. In this way, the best approach to mitigate the process variability is the use of Schmitt Triggers, as well as the sleep transistor technique is the most efficient for the SE mitigation. However, the Schmitt Trigger technique presents the highest penalties in area, performance, and power. Therefore, depending on the application, the sleep transistor technique can be the most appropriate to mitigate the process variability effects.