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Cormac Brick
Cormac Brick
Verified email at intel.com
Title
Cited by
Cited by
Year
Always-on vision processing unit for mobile applications
B Barry, C Brick, F Connor, D Donohoe, D Moloney, R Richmond, ...
IEEE Micro 35 (2), 56-66, 2015
1502015
Myriad 2: Eye of the computational vision storm
D Moloney, B Barry, R Richmond, F Connor, C Brick, D Donohoe
2014 IEEE Hot Chips 26 Symposium (HCS), 1-18, 2014
732014
Apparatus, systems, and methods for providing configurable computational imaging pipeline
D Moloney, R Richmond, D Donohoe, B Barry, C Brick, OA Vesa
US Patent 9,146,747, 2015
432015
Hybrid pruning: Thinner sparse networks for fast inference on edge devices
X Xu, MS Park, C Brick
arXiv preprint arXiv:1811.00482, 2018
332018
Corner detection
C Brick, B Barry, F Connor, D Moloney
US Patent 9,842,271, 2017
222017
Hybrid neural network pruning
X Xu, MS Park, CM Brick
US Patent App. 16/226,521, 2019
162019
Apparatus, systems, and methods for providing computational imaging pipeline
D Moloney, C Brick, OA Vesa, B Barry
US Patent 11,042,382, 2021
142021
Schedule-aware tensor distribution module
G Chinya, H Liu, A Raha, D Mohapatra, C Brick, L Hacking
US Patent 11,907,827, 2024
122024
Neural network compression
X Xu, MS Park, CM Brick
US Patent App. 17/416,461, 2022
112022
Design considerations for edge neural network accelerators: An industry perspective
A Raha, SK Kim, DA Mathaikutty, G Venkataramanan, D Mohapatra, ...
2021 34th International Conference on VLSI Design and 2021 20th …, 2021
112021
Configurable processor element arrays for implementing convolutional neural networks
D Mohapatra, A Raha, G Chinya, H Liu, C Brick, L Hacking
US Patent App. 16/726,709, 2020
102020
Squantizer: Simultaneous learning for both sparse and low-precision neural networks
MS Park, X Xu, C Brick
arXiv preprint arXiv:1812.08301, 2018
92018
Special session: Approximate TinyML systems: Full system approximations for extreme energy-efficiency in intelligent edge devices
A Raha, S Ghosh, D Mohapatra, DA Mathaikutty, R Sung, C Brick, ...
2021 IEEE 39th International Conference on Computer Design (ICCD), 13-16, 2021
82021
Methods and apparatus for dynamic batching of data for neural network workloads
E Luk, M Elmalaki, S Almalih, C Brick
US Patent App. 16/832,601, 2020
72020
Hardware accelerator for histogram of gradients
R Richmond, C Brick, B Barry, D Moloney
US Patent 9,483,706, 2016
62016
Deep learning stereo vision at the edge
L Puglia, C Brick
arXiv preprint arXiv:2001.04552, 2020
42020
Efficient hardware acceleration of emerging neural networks for embedded machine learning: An industry perspective
A Raha, R Sung, S Ghosh, PK Gupta, DA Mathaikutty, UI Cheema, ...
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing …, 2023
32023
Methods and apparatus for hardware-aware machine learning model training
X Xu, C Brick, Z Biro
US Patent App. 17/013,258, 2020
32020
Subtraction in a viterbi decoder
C Brick
US Patent App. 09/904,382, 2002
32002
Minimum error detection in a viterbi decoder
C Brick
US Patent App. 09/904,411, 2002
32002
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