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Hokchhay Tann
Hokchhay Tann
Tenstorrent Inc.
Verified email at arm.com - Homepage
Title
Cited by
Cited by
Year
Understanding the impact of precision quantization on the accuracy and energy of neural networks
S Hashemi, N Anthony, H Tann, RI Bahar, S Reda
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017
1602017
Runtime configurable deep neural networks for energy-accuracy trade-off
H Tann, S Hashemi, RI Bahar, S Reda
Proceedings of the eleventh ieee/acm/ifip international conference on …, 2016
902016
Hardware-software codesign of accurate, multiplier-free deep neural networks
H Tann, S Hashemi, RI Bahar, S Reda
Proceedings of the 54th Annual Design Automation Conference 2017, 1-6, 2017
802017
BLASYS: Approximate logic synthesis using Boolean matrix factorization
S Hashemi, H Tann, S Reda
Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018
722018
Automated high-level generation of low-power approximate computing circuits
K Nepal, S Hashemi, H Tann, RI Bahar, S Reda
IEEE Transactions on Emerging Topics in Computing 7 (1), 18-30, 2016
722016
Approximate computing for biometric security systems: A case study on iris scanning
S Hashemi, H Tann, F Buttafuoco, S Reda
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 319-324, 2018
272018
Principles of information storage in small-molecule mixtures
JK Rosenstein, C Rose, S Reda, PM Weber, E Kim, J Sello, J Geiser, ...
IEEE Transactions on NanoBioscience 19 (3), 378-384, 2020
232020
Flexible deep neural network processing
H Tann, S Hashemi, S Reda
arXiv preprint arXiv:1801.07353, 2018
152018
UDC: Unified DNAS for compressible TinyML models
I Fedorov, R Matas, H Tann, C Zhou, M Mattina, P Whatmough
arXiv preprint arXiv:2201.05842, 2022
102022
A resource-efficient embedded iris recognition system using fully convolutional networks
H Tann, H Zhao, S Reda
ACM Journal on Emerging Technologies in Computing Systems (JETC) 16 (1), 1-23, 2019
92019
Udc: Unified dnas for compressible tinyml models for neural processing units
I Fedorov, R Matas, H Tann, C Zhou, M Mattina, P Whatmough
Advances in Neural Information Processing Systems 35, 18456-18471, 2022
82022
Parallelized linear classification with volumetric chemical perceptrons
CE Arcadia, H Tann, A Dombroski, K Ferguson, SL Chen, E Kim, C Rose, ...
2018 IEEE International Conference on Rebooting Computing (ICRC), 1-9, 2018
82018
Approximate logic synthesis using Boolean matrix factorization
S Hashemi, H Tann, S Reda
Approximate Circuits: Methodologies and CAD, 141-154, 2019
72019
Lightweight Deep Neural Network Accelerators Using Approximate SW/HW Techniques
H Tann, S Hashemi, S Reda
Approximate Circuits, 289-305, 2019
72019
Leveraging autocatalytic reactions for chemical domain image classification
CE Arcadia, A Dombroski, K Oakley, SL Chen, H Tann, C Rose, E Kim, ...
Chemical Science 12 (15), 5464-5472, 2021
62021
Approximate computing for iris recognition systems
H Tann, S Hashemi, F Buttafuoco, S Reda
Approximate Circuits: Methodologies and CAD, 331-348, 2019
52019
New vision system and navigation algorithm for an autonomous ground vehicle
H Tann, B Shakya, AC Merchen, BC Williams, A Khanal, J Zhao, ...
Intelligent Robots and Computer Vision XXXI: Algorithms and Techniques 9025 …, 2014
22014
Improved obstacle avoidance and navigation for an autonomous ground vehicle
B Giri, H Cho, BC Williams, H Tann, B Shakya, V Bharam, DJ Ahlgren
Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques 9406 …, 2015
12015
System, devices and/or processes for defining a search space for neural network processing device architectures
H Tann, RM Navarro, I Fedorov, C Zhou, PN Whatmough, M Mattina
US Patent App. 17/817,142, 2024
2024
Methods of chemical computation
B Rubenstein, JK Rosenstein, C Arcadia, SL Chen, AD Dombroski, ...
US Patent 11,790,280, 2023
2023
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