Making Convolutions Resilient via Algorithm-Based Error Detection Techniques

Convolutional Neural Networks (CNNs) are being increasingly used in safety-critical and high-performance computing systems. As such systems require high levels of resilience to errors, CNNs must execute correctly in the presence of hardware faults. Full duplication provides the needed assurance but...

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Veröffentlicht in:	IEEE transactions on dependable and secure computing 2022-07, Vol.19 (4), p.1-1
Hauptverfasser:	Hari, Siva Kumar Sastry, Sullivan, Michael, Tsai, Timothy, Keckler, Stephen W
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Computational modeling Error correction & detection Error detection Hardware Inference algorithms Reproduction (copying) Resilience Run time (computers) Runtime Safety Safety critical Training
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