TY - JOUR
T1 - Multiscale System Modeling of Single-Event-Induced Faults in Advanced Node Processors
AU - Cannon, Matthew
AU - Rodrigues, Arun
AU - Black, Dolores
AU - Black, Jeff
AU - Bustamante, Luis
AU - Breeding, Matthew
AU - Feinberg, Ben
AU - Skoufis, Micahel
AU - Quinn, Heather
AU - Clark, Lawrence T.
AU - Brunhaver, John
AU - Barnaby, Hugh
AU - McLain, Michael
AU - Agarwal, Sapan
AU - Marinella, Matthew J.
N1 - Funding Information:
Manuscript received November 10, 2020; revised March 11, 2021; accepted March 16, 2021. Date of publication May 5, 2021; date of current version May 20, 2021. This work was supported by the Sandia National Laboratories, which is a multimission laboratory managed and operated by the National Technology and Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under Contract DE-NA0003525.
Publisher Copyright:
© 1963-2012 IEEE.
PY - 2021/5
Y1 - 2021/5
N2 - Integration-technology feature shrink increases computing-system susceptibility to single-event effects (SEE). While modeling SEE faults will be critical, an integrated processor's scope makes physically correct modeling computationally intractable. Without useful models, presilicon evaluation of fault-tolerance approaches becomes impossible. To incorporate accurate transistor-level effects at a system scope, we present a multiscale simulation framework. Charge collection at the 1) device level determines 2) circuit-level transient duration and state-upset likelihood. Circuit effects, in turn, impact 3) register-transfer-level architecture-state corruption visible at 4) the system level. Thus, the physically accurate effects of SEEs in large-scale systems, executed on a high-performance computing (HPC) simulator, could be used to drive cross-layer radiation hardening by design. We demonstrate the capabilities of this model with two case studies. First, we determine a D flip-flop's sensitivity at the transistor level on 14-nm FinFet technology, validating the model against published cross sections. Second, we track and estimate faults in a microprocessor without interlocked pipelined stages (MIPS) processor for Adams 90% worst case environment in an isotropic space environment.
AB - Integration-technology feature shrink increases computing-system susceptibility to single-event effects (SEE). While modeling SEE faults will be critical, an integrated processor's scope makes physically correct modeling computationally intractable. Without useful models, presilicon evaluation of fault-tolerance approaches becomes impossible. To incorporate accurate transistor-level effects at a system scope, we present a multiscale simulation framework. Charge collection at the 1) device level determines 2) circuit-level transient duration and state-upset likelihood. Circuit effects, in turn, impact 3) register-transfer-level architecture-state corruption visible at 4) the system level. Thus, the physically accurate effects of SEEs in large-scale systems, executed on a high-performance computing (HPC) simulator, could be used to drive cross-layer radiation hardening by design. We demonstrate the capabilities of this model with two case studies. First, we determine a D flip-flop's sensitivity at the transistor level on 14-nm FinFet technology, validating the model against published cross sections. Second, we track and estimate faults in a microprocessor without interlocked pipelined stages (MIPS) processor for Adams 90% worst case environment in an isotropic space environment.
KW - Fault modeling
KW - single-event effects (SEEs)
KW - single-event transient (SET)
KW - single-event upset (SEU)
KW - structural simulation toolkit (SST)
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U2 - 10.1109/TNS.2021.3071653
DO - 10.1109/TNS.2021.3071653
M3 - Article
AN - SCOPUS:85105602876
SN - 0018-9499
VL - 68
SP - 980
EP - 990
JO - IEEE Transactions on Nuclear Science
JF - IEEE Transactions on Nuclear Science
IS - 5
M1 - 9424210
ER -