Development of low-overhead soft error mitigation technique for safety critical neural networks applications

• Main Author: Khalid Adam, Ismail Hammad
• Format: Thesis
• Language: English
• Published: 2021
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/34715/1/Development%20of%20low-overhead%20soft%20error%20mitigation%20technique%20for%20safety%20critical%20neural.ir.pdf; http://umpir.ump.edu.my/id/eprint/34715/

Deep Neural Networks (DNNs) have been widely applied in healthcare applications. DNN-based healthcare applications are safety-critical systems that require highreliability implementation due to a high risk of human death or injury in case of malfunction. Several DNN accelerators are used to execute...