Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks

Emerging edge computing platforms often contain machine learning (ML) accelerators that can accelerate inference for a wide range of neural network (NN) models. These models are designed to fit within the limited area and energy constraints of the edge computing platforms, each targeting various app...

Celý popis

Podrobná bibliografia

Vydané v:	2021 30th International Conference on Parallel Architectures and Compilation Techniques (PACT) s. 159 - 172
Hlavní autori:	Boroumand, Amirali, Ghose, Saugata, Akin, Berkin, Narayanaswami, Ravi, Oliveira, Geraldo F., Ma, Xiaoyu, Shiu, Eric, Mutlu, Onur
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.09.2021
Predmet:	Analytical models Artificial neural networks Computational modeling Image edge detection Machine learning Throughput Visual analytics
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!