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Hyeon Uk Sim
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Journal Articles
- 2022
- [j4]Jooyeon Choi, Hyeonuk Sim, Sangyun Oh
, Sugil Lee
MLogNet: A Logarithmic Quantization-Based Accelerator for Depthwise Separable Convolution. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5220-5231 (2022) - 2019
- [j3]Hyeonuk Sim, Jongeun Lee:
Cost-effective stochastic MAC circuits for deep neural networks. Neural Networks 117: 152-162 (2019) - 2016
- [j2]Hyeon Uk Sim, Hongsik Lee, Seongseok Seo, Jongeun Lee:
Mapping Imperfect Loops to Coarse-Grained Reconfigurable Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(7): 1092-1104 (2016) - [j1]Hyeon Uk Sim, Atul Rahman, Jongeun Lee:
Efficient High-Level Synthesis for Nested Loops of Nonrectangular Iteration Spaces. IEEE Trans. Very Large Scale Integr. Syst. 24(8): 2799-2802 (2016)
Conference and Workshop Papers
- 2022
- [c12]Sangyun Oh
Non-uniform Step Size Quantization for Accurate Post-training Quantization. ECCV (11) 2022: 658-673 - 2021
- [c11]Sangyun Oh, Hyeonuk Sim, Sugil Lee, Jongeun Lee:
Automated Log-Scale Quantization for Low-Cost Deep Neural Networks. CVPR 2021: 742-751 - 2020
- [c10]Hyeonuk Sim, Jooyeon Choi, Jongeun Lee:
SparTANN: sparse training accelerator for neural networks with threshold-based sparsification. ISLPED 2020: 211-216 - 2019
- [c9]Hyeon Uk Sim, Jongeun Lee:
Log-quantized stochastic computing for memory and computation efficient DNNs. ASP-DAC 2019: 280-285 - [c8]Hyeon Uk Sim, Jason Helge Anderson, Jongeun Lee:
XOMA: exclusive on-chip memory architecture for energy-efficient deep learning acceleration. ASP-DAC 2019: 651-656 - [c7]Sugil Lee, Hyeon Uk Sim, Jooyeon Choi, Jongeun Lee:
Successive Log Quantization for Cost-Efficient Neural Networks Using Stochastic Computing. DAC 2019: 7 - 2018
- [c6]Hyeon Uk Sim, Saken Kenzhegulov, Jongeun Lee:
DPS: dynamic precision scaling for stochastic computing-based deep neural networks. DAC 2018: 13:1-13:6 - [c5]Aidyn Zhakatayev, Sugil Lee, Hyeon Uk Sim, Jongeun Lee:
Sign-magnitude SC: getting 10X accuracy for free in stochastic computing for deep neural networks. DAC 2018: 158:1-158:6 - 2017
- [c4]Hyeon Uk Sim, Dong Nguyen, Jongeun Lee, Kiyoung Choi:
Scalable stochastic-computing accelerator for convolutional neural networks. ASP-DAC 2017: 696-701 - [c3]Hyeon Uk Sim, Jongeun Lee:
A New Stochastic Computing Multiplier with Application to Deep Convolutional Neural Networks. DAC 2017: 29:1-29:6 - [c2]Daewoo Kim, Mansureh S. Moghaddam, Hossein Moradian, Hyeon Uk Sim, Jongeun Lee, Kiyoung Choi:
FPGA implementation of convolutional neural network based on stochastic computing. FPT 2017: 287-290 - 2014
- [c1]Jongeun Lee, Seongseok Seo, Hongsik Lee, Hyeon Uk Sim:
Flattening-based mapping of imperfect loop nests for CGRAs? CODES+ISSS 2014: 9:1-9:10
Coauthor Index
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