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Jiecao Yu
Jiecao Yu
Research Scientist, Facebook
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
Scalpel: Customizing dnn pruning to the underlying hardware parallelism
J Yu, A Lukefahr, D Palframan, G Dasika, R Das, S Mahlke
Proceedings of the 44th Annual International Symposium on Computer …, 2017
4562017
Bit prudent in-cache acceleration of deep convolutional neural networks
X Wang, J Yu, C Augustine, R Iyer, R Das
2019 IEEE International Symposium on High Performance Computer Architecture …, 2019
462019
First-generation inference accelerator deployment at facebook
M Anderson, B Chen, S Chen, S Deng, J Fix, M Gschwind, A Kalaiah, ...
arXiv preprint arXiv:2107.04140, 2021
312021
Systems and devices for formatting neural network parameters
YU Jiecao, A Lukefahr, D Palframan, G Dasika, R Das, S Mahlke
US Patent 11,275,996, 2022
222022
Tf-net: Deploying sub-byte deep neural networks on microcontrollers
J Yu, A Lukefahr, R Das, S Mahlke
ACM Transactions on Embedded Computing Systems (TECS) 18 (5s), 1-21, 2019
222019
Compute-capable block RAMs for efficient deep learning acceleration on FPGAs
X Wang, V Goyal, J Yu, V Bertacco, A Boutros, E Nurvitadhi, C Augustine, ...
2021 IEEE 29th Annual International Symposium on Field-Programmable Custom …, 2021
182021
Spatial-winograd pruning enabling sparse winograd convolution
J Yu, J Park, M Naumov
arXiv preprint arXiv:1901.02132, 2019
112019
Alternate model growth and pruning for efficient training of recommendation systems
X Du, B Bhushanam, J Yu, D Choudhary, T Gao, S Wong, L Feng, J Park, ...
2021 20th IEEE International Conference on Machine Learning and Applications …, 2021
72021
Adaptive dense-to-sparse paradigm for pruning online recommendation system with non-stationary data
M Ye, D Choudhary, J Yu, E Wen, Z Chen, J Yang, J Park, Q Liu, ...
arXiv preprint arXiv:2010.08655, 2020
62020
Systems and devices for compressing neural network parameters
YU Jiecao, A Lukefahr, D Palframan, G Dasika, R Das, S Mahlke
US Patent 11,321,604, 2022
32022
BitSET: Bit-Serial Early Termination for Computation Reduction in Convolutional Neural Networks
Y Pan, J Yu, A Lukefahr, R Das, S Mahlke
ACM Transactions on Embedded Computing Systems 22 (5s), 1-24, 2023
12023
Controlling transition between using first and second processing circuitry
A Lukefahr, S Padmanabha, R Das, S Mahlke, YU Jiecao
US Patent 10,310,858, 2019
2019
Efficient Deep Neural Network Computation on Processors
J Yu
2019
Adaptive Cache Partitioning on a Composite Core
J Yu, A Lukefahr, S Padmanabha, R Das, S Mahlke
2015
Retrospective: Scalpel: Customizing DNN Pruning to the Underlying Hardware Parallelism
J Yu, M Platforms, R Das, S Mahlke
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Articles 1–15