Live Demonstration: Smart Watchdog Mechanism for Real-time Fault Detection in RISC-V

David Simpson; Jim Harkin; W McElholm; LJ McDaid

doi:10.1109/ISCAS56072.2025.11044164

Live Demonstration: Smart Watchdog Mechanism for Real-time Fault Detection in RISC-V

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Downloads (Pure)

Abstract

This live demonstration relates to our paper titled "Smart Watchdog Mechanism for Fault Detection in RISC-V" also published at ISCAS 2025. Spiking neural networks (SNNs) can realise low power and area implementations compared to traditional neural network models. We present an interactive demonstration of a SNN-based smart watchdog circuit capable of real-time monitoring and detection of errors during program execution in a modern RISC-V processor. The smart watchdogs performance is demonstrated by monitoring the RISC-V core running a control task resembling a safety-critical application, where demo-attendees can inject faults into the program counter register and witness the detection of errors and how control flow errors impacts the motor operation. The demo permits various fault injection patterns, i.e. bit flips and stuck at zero/one faults.

Original language	English
Title of host publication	2025 IEEE International Symposium on Circuits and Systems (ISCAS)
Publisher	IEEE
Number of pages	2
ISBN (Electronic)	979-8-3503-5683-0
ISBN (Print)	979-8-3503-5684-7
DOIs	https://doi.org/10.1109/ISCAS56072.2025.11044164
Publication status	Published (in print/issue) - 27 Jun 2025
Event	IEEE International Symposium on Circuits and Systems (ISCAS) - Duration: 30 May 2010 → …

Publication series

Name
ISSN (Print)	0271-4302
ISSN (Electronic)	2158-1525

Conference

Conference	IEEE International Symposium on Circuits and Systems (ISCAS)
Period	30/05/10 → …

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Funding

Department for Economy (DfE)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities

Keywords

Circuits and systemss
Fault detection
Neural networks
Spiking neural networks
Electrical fault detection
Motors
Real-time systems
Registers
Integrated circuit modelling
Monitoring

Access to Document

10.1109/ISCAS56072.2025.11044164

Live Demo PaperAuthor Accepted Manuscript, 370 KB

Cite this

@inproceedings{f376bb9bb7104a95b34305b32407e76e,

title = "Live Demonstration: Smart Watchdog Mechanism for Real-time Fault Detection in RISC-V",

abstract = "This live demonstration relates to our paper titled {"}Smart Watchdog Mechanism for Fault Detection in RISC-V{"} also published at ISCAS 2025. Spiking neural networks (SNNs) can realise low power and area implementations compared to traditional neural network models. We present an interactive demonstration of a SNN-based smart watchdog circuit capable of real-time monitoring and detection of errors during program execution in a modern RISC-V processor. The smart watchdogs performance is demonstrated by monitoring the RISC-V core running a control task resembling a safety-critical application, where demo-attendees can inject faults into the program counter register and witness the detection of errors and how control flow errors impacts the motor operation. The demo permits various fault injection patterns, i.e. bit flips and stuck at zero/one faults.",

keywords = "Circuits and systemss, Fault detection, Neural networks, Spiking neural networks, Electrical fault detection, Motors, Real-time systems, Registers, Integrated circuit modelling, Monitoring",

author = "David Simpson and Jim Harkin and W McElholm and LJ McDaid",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; IEEE International Symposium on Circuits and Systems (ISCAS) ; Conference date: 30-05-2010",

year = "2025",

month = jun,

day = "27",

doi = "10.1109/ISCAS56072.2025.11044164",

language = "English",

isbn = "979-8-3503-5684-7",

publisher = "IEEE",

booktitle = "2025 IEEE International Symposium on Circuits and Systems (ISCAS)",

address = "United States",

}

TY - GEN

T1 - Live Demonstration: Smart Watchdog Mechanism for Real-time Fault Detection in RISC-V

AU - Simpson, David

AU - Harkin, Jim

AU - McElholm, W

AU - McDaid, LJ

PY - 2025/6/27

Y1 - 2025/6/27

N2 - This live demonstration relates to our paper titled "Smart Watchdog Mechanism for Fault Detection in RISC-V" also published at ISCAS 2025. Spiking neural networks (SNNs) can realise low power and area implementations compared to traditional neural network models. We present an interactive demonstration of a SNN-based smart watchdog circuit capable of real-time monitoring and detection of errors during program execution in a modern RISC-V processor. The smart watchdogs performance is demonstrated by monitoring the RISC-V core running a control task resembling a safety-critical application, where demo-attendees can inject faults into the program counter register and witness the detection of errors and how control flow errors impacts the motor operation. The demo permits various fault injection patterns, i.e. bit flips and stuck at zero/one faults.

AB - This live demonstration relates to our paper titled "Smart Watchdog Mechanism for Fault Detection in RISC-V" also published at ISCAS 2025. Spiking neural networks (SNNs) can realise low power and area implementations compared to traditional neural network models. We present an interactive demonstration of a SNN-based smart watchdog circuit capable of real-time monitoring and detection of errors during program execution in a modern RISC-V processor. The smart watchdogs performance is demonstrated by monitoring the RISC-V core running a control task resembling a safety-critical application, where demo-attendees can inject faults into the program counter register and witness the detection of errors and how control flow errors impacts the motor operation. The demo permits various fault injection patterns, i.e. bit flips and stuck at zero/one faults.

KW - Circuits and systemss

KW - Fault detection

KW - Neural networks

KW - Spiking neural networks

KW - Electrical fault detection

KW - Motors

KW - Real-time systems

KW - Registers

KW - Integrated circuit modelling

KW - Monitoring

UR - https://www.scopus.com/pages/publications/105010613118

U2 - 10.1109/ISCAS56072.2025.11044164

DO - 10.1109/ISCAS56072.2025.11044164

M3 - Conference contribution

SN - 979-8-3503-5684-7

BT - 2025 IEEE International Symposium on Circuits and Systems (ISCAS)

PB - IEEE

T2 - IEEE International Symposium on Circuits and Systems (ISCAS)

Y2 - 30 May 2010

ER -

Live Demonstration: Smart Watchdog Mechanism for Real-time Fault Detection in RISC-V

Abstract

Publication series

Conference

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Smart Watchdog Mechanism for Fault Detection in RISC-V

Cite this