Mix-GEMM: An efficient HW-SW Architecture for Mixed-Precision Quantized Deep Neural Networks Inference on Edge Devices - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Enrico Reggiani, Alessandro Pappalardo, Max Doblas, Miquel Moretó, Mauro Olivieri, Osman Sabri Unsal, Adrián Cristal. Mix-GEMM: An efficient HW-SW Architecture for Mixed-Precision Quantized Deep Neural Networks Inference on Edge Devices. In IEEE International Symposium on High-Performance Computer Architecture, HPCA 2023, Montreal, QC, Canada, February 25 - March 1, 2023. pages 1085-1098, IEEE, 2023. [doi]

This author has not been identified. Look up 'Enrico Reggiani' in GoogleThis author has not been identified. Look up 'Alessandro Pappalardo' in GoogleThis author has not been identified. Look up 'Max Doblas' in GoogleThis author has not been identified. Look up 'Miquel Moretó' in GoogleThis author has not been identified. Look up 'Mauro Olivieri' in GoogleThis author has not been identified. Look up 'Osman Sabri Unsal' in GoogleThis author has not been identified. Look up 'Adrián Cristal' in Google

runs on WebDSL