Google neural network models for edge devices: Analyzing and mitigating machine learning inference bottlenecks

A Boroumand, S Ghose, B Akin… - 2021 30th …, 2021 - ieeexplore.ieee.org
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 …
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[PDF][PDF] Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks

A Boroumand, S Ghose, B Akin, R Narayanaswami… - ghose.web.illinois.edu
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 …

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

A Boroumand, S Ghose, B Akin… - arXiv e …, 2021 - ui.adsabs.harvard.edu
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 …

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

A Boroumand, S Ghose, B Akin… - arXiv preprint arXiv …, 2021 - arxiv.org
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 …

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

A Boroumand, S Ghose, B Akin… - 2021 30th …, 2021 - computer.org
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 …

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

A Boroumand, S Ghose, B Akin… - 2021 30th …, 2021 - research-collection.ethz.ch
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 …
[PDF] ethz.ch

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

A Boroumand, S Ghose, B Akin, R Narayanaswami… - people.inf.ethz.ch
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 …
[PDF] illinois.edu

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

A Boroumand, S Ghose, B Akin, R Narayanaswami… - ghose.cs.illinois.edu
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 …

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

A Boroumand, S Ghose, B Akin… - 30th International …, 2021 - experts.illinois.edu
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 …
[PDF] illinois.edu

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

A Boroumand, S Ghose, B Akin, R Narayanaswami… - ghose.cs.illinois.edu
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 …