Impact of Self-Heating on Performance, Power and Reliability in FinFET Technology

Self-heating is one of the biggest threats to reliability in current and advanced CMOS technologies like FinFET and Nanowire, respectively. Encapsulating the channel with the gate dielectric improved electrostatics, but also thermally insulates the channel resulting in elevated channel temperatures as the generated heat is trapped within the channel. Elevated channel temperatures lowers the performance, increases leakage power and degrades the reliability of circuits. Self-heating becomes worse in each new transistor structure (from planar transistor to FinFET to Nanowire) due to the ever-increasing thermal resistance of the transistor. This leads to elevated temperatures, which must be carefully considered while designing circuits. Otherwise, reliability cannot be ensured. This work presents a self-heating study to illustrate how self-heating matters in digital circuits. It also explores the impact of running workloads in SRAM arrays, such as register files in CPUs, and how self-heating effects in SRAM cells can be mitigated.

[1]  Paul Ampadu,et al.  Temperature Effects in Semiconductors , 2012 .

[2]  Jörg Henkel,et al.  A Simulation Study of NBTI Impact on 14-nm Node FinFET Technology for Logic Applications: Device Degradation to Circuit-Level Interaction , 2019, IEEE Transactions on Electron Devices.

[3]  S. Makovejev,et al.  RF Extraction of Self-Heating Effects in FinFETs , 2011, IEEE Transactions on Electron Devices.

[4]  Jörg Henkel,et al.  Impact of NBTI Aging on Self-Heating in Nanowire FET , 2020, 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE).

[5]  Pooja Kumari,et al.  On the Workload Dependence of Self-Heating in FinFET Circuits , 2020, IEEE Transactions on Circuits and Systems II: Express Briefs.

[6]  Jörg Henkel,et al.  Reliability Challenges with Self-Heating and Aging in FinFET Technology , 2019, 2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design (IOLTS).

[7]  Woojin Ahn,et al.  Integrated modeling of Self-heating of confined geometry (FinFET, NWFET, and NSHFET) transistors and its implications for the reliability of sub-20 nm modern integrated circuits , 2018, Microelectron. Reliab..

[8]  Xing Zhang,et al.  The Impact of Self-Heating on HCI Reliability in High-Performance Digital Circuits , 2017, IEEE Electron Device Letters.

[9]  Ali M. Niknejad,et al.  BSIM-CMG: A Compact Model for Multi-Gate Transistors , 2008 .

[10]  Bing J. Sheu,et al.  BSIM: Berkeley short-channel IGFET model for MOS transistors , 1987 .

[11]  Somayeh Sardashti,et al.  The gem5 simulator , 2011, CARN.

[12]  Andrew R. Brown,et al.  Statistical variability and reliability in nanoscale FinFETs , 2011, 2011 International Electron Devices Meeting.

[13]  Jörg Henkel,et al.  Reliability in Super- and Near-Threshold Computing: A Unified Model of RTN, BTI, and PV , 2018, IEEE Transactions on Circuits and Systems I: Regular Papers.

[14]  A. Mercha,et al.  Self-heating on bulk FinFET from 14nm down to 7nm node , 2015, 2015 IEEE International Electron Devices Meeting (IEDM).

[15]  A. Ionescu,et al.  Self-heating characterization and extraction method for thermal resistance and capacitance in high voltage MOSFETs , 2003, ESSDERC '03. 33rd Conference on European Solid-State Device Research, 2003..

[16]  Jörg Henkel,et al.  Voltage Adaptation Under Temperature Variation , 2018, 2018 15th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD).

[17]  Jörg Henkel,et al.  New Worst-Case Timing for Standard Cells Under Aging Effects , 2019, IEEE Transactions on Device and Materials Reliability.

[18]  Jörg Henkel,et al.  Optimizing temperature guardbands , 2017, Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017.

[19]  Jorg Henkel,et al.  Modeling and Mitigating Time-Dependent Variability From the Physical Level to the Circuit Level , 2019, IEEE Transactions on Circuits and Systems I: Regular Papers.

[20]  Jörg Henkel,et al.  Trading Off Temperature Guardbands via Adaptive Approximations , 2018, 2018 IEEE 36th International Conference on Computer Design (ICCD).