TY - GEN
T1 - vRTLmod
T2 - 20th ACM International Conference on Computing Frontiers, CF 2023
AU - Geier, Johannes
AU - Mueller-Gritschneder, Daniel
N1 - Publisher Copyright:
© 2023 Owner/Author.
PY - 2023/5/9
Y1 - 2023/5/9
N2 - With an ever increasing utilization of open-source hardware, the demand for improved productivity in its various development phases rises. This demand can only be met by open-source tools accompanying these open-hardware projects to cover their crucial tasks in design, test, and verification. One of these required tasks is fault injection analysis. At early stages of development, it can help to identify vulnerabilities of the hardware designs. In this work, we propose the open-source tool vRTLmod which enables low overhead and scaling fault injection simulations at Register Tranfer Level (RTL).
AB - With an ever increasing utilization of open-source hardware, the demand for improved productivity in its various development phases rises. This demand can only be met by open-source tools accompanying these open-hardware projects to cover their crucial tasks in design, test, and verification. One of these required tasks is fault injection analysis. At early stages of development, it can help to identify vulnerabilities of the hardware designs. In this work, we propose the open-source tool vRTLmod which enables low overhead and scaling fault injection simulations at Register Tranfer Level (RTL).
KW - C++ languages
KW - Fault injection
KW - Register transfer level
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=85169588222&partnerID=8YFLogxK
U2 - 10.1145/3587135.3591435
DO - 10.1145/3587135.3591435
M3 - Conference contribution
AN - SCOPUS:85169588222
T3 - Proceedings of the 20th ACM International Conference on Computing Frontiers 2023, CF 2023
SP - 387
EP - 388
BT - Proceedings of the 20th ACM International Conference on Computing Frontiers 2023, CF 2023
PB - Association for Computing Machinery, Inc
Y2 - 9 May 2023 through 11 May 2023
ER -