An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks

An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks

20 February 2021

Ravi Narayanaswami

Amir Yazdanbakhsh

Papers citing "An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks"

18 / 18 papers shown

Title
Vision Controlled Orthotic Hand Exoskeleton Connor Blais Md Abdul Baset Sarker Masudul H. Imtiaz 30 0 0 22 Apr 2025
Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time Matteo Risso Alessio Burrello Daniele Jahier Pagliari 41 0 0 24 Feb 2025
EdgeFlowNet: 100FPS@1W Dense Optical Flow For Tiny Mobile Robots Sai Ramana Kiran Pinnama Raju Rishabh Singh Manoj Velmurugan Nitin J. Sanket 74 1 0 21 Nov 2024
Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations H. Esmaeilzadeh Soroush Ghodrati A. Kahng Sean Kinzer Susmita Dey Manasi S. Sapatnekar Zhiang Wang 22 2 0 29 Jun 2023
DGEMM on Integer Matrix Multiplication Unit Hiroyuki Ootomo K. Ozaki Rio Yokota 9 12 0 21 Jun 2023
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference Matteo Risso Alessio Burrello G. M. Sarda Luca Benini Enrico Macii M. Poncino Marian Verhelst Daniele Jahier Pagliari 28 4 0 08 Jun 2023
Hardware Acceleration of Explainable Artificial Intelligence Zhixin Pan Prabhat Mishra 21 0 0 04 May 2023
Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture Yingjie Li Weilu Gao Cunxi Yu 22 3 0 25 Apr 2023
Binarized Neural Machine Translation Yichi Zhang Ankush Garg Yuan Cao Lukasz Lew Behrooz Ghorbani Zhiru Zhang Orhan Firat MQ 34 14 0 09 Feb 2023
DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling L. Mei Koen Goetschalckx Arne Symons Marian Verhelst 39 28 0 10 Dec 2022
GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation O. Sýkora P. Phothilimthana Charith Mendis Amir Yazdanbakhsh GNN 45 21 0 08 Oct 2022
Google Coral-based edge computing person reidentification using human parsing combined with analytical method N. Gabdullin A. Raskovalov 14 3 0 22 Sep 2022
Accelerating Attention through Gradient-Based Learned Runtime Pruning Zheng Li Soroush Ghodrati Amir Yazdanbakhsh H. Esmaeilzadeh Mingu Kang 19 17 0 07 Apr 2022
Data-Driven Offline Optimization For Architecting Hardware Accelerators Aviral Kumar Amir Yazdanbakhsh Milad Hashemi Kevin Swersky Sergey Levine 25 36 0 20 Oct 2021
Exploring Deep Neural Networks on Edge TPU Seyedehfaezeh Hosseininoorbin S. Layeghy Branislav Kusy Raja Jurdak Marius Portmann 19 9 0 17 Oct 2021
Deep Learning on Edge TPUs A. Kist Andreas M Kist 30 17 0 31 Aug 2021
FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks Sheng-Chun Kao Suvinay Subramanian Gaurav Agrawal Amir Yazdanbakhsh T. Krishna 32 57 0 13 Jul 2021
Hardware Acceleration of Explainable Machine Learning using Tensor Processing Units Zhixin Pan Prabhat Mishra 22 18 0 22 Mar 2021