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A New Stochastic Computing Multiplier with Application to Deep Convolutional Neural Networks File

Sim, Hyeonuk , Lee, Jongeun

Conference Paper Issue Date2017-06-18 View43

Automated Log-Scale Quantization for Low-Cost Deep Neural Networks File

Oh, Sangyun , Sim, Hyeonuk , Lee, Sugil , Lee, Jongeun

Conference Paper Issue Date2021-06-20 View24

Bitstream-Based Neural Network for Scalable, Efficient, and Accurate Deep Learning Hardware File File

Sim, Hyeonuk , Lee, Jongeun

Article Issue Date2020-12 View48

Cost-effective stochastic MAC circuits for deep neural networks File

Sim, Hyeonuk , Lee, Jongeun

Article Issue Date2019-09 View37

DPS: Dynamic Precision Scaling for Stochastic Computing-Based Deep Neural Networks File

Sim, Hyeonuk , Kenzhegulov, Saken , Lee, Jongeun

Conference Paper Issue Date2018-06-24 View21

Efficient High-Level Synthesis for Nested Loops of Nonrectangular Iteration Spaces File

Sim, Hyeonuk , Rahman, Atul , Lee, Jongeun

Article Issue Date2016-08 View32

FlexInt: A New Number Format for Robust Sub-8-Bit Neural Network Inference

Hong, Minuk , Sim, Hyeonuk , Lee, Sugil , Lee, Jongeun

Conference Paper Issue Date2024-10-27 View46

FPGA Implementation of Convolutional Neural Network Based on Stochastic Computing File

Kim, Daewoo , Moghaddam, Mansureh S. , Moradian, Hossein , Sim, Hyeonuk , Lee, Jongeun , Choi, Kiyoung

Conference Paper Issue Date2017-12-11 View42

Log-quantized stochastic computing for memory and computation efficient DNNs File

Sim, Hyeonuk , Lee, Jongeun

Conference Paper Issue Date2019-01-21 View35

Low-Cost Deep Convolutional Neural Network Acceleration with Stochastic Computing and Quantization File File

Sim, Hyeonuk

Thesis Issue Date2021-02 View43

Mapping imperfect loops to coarse-grained reconfigurable architectures File

Sim, Hyeonuk , Lee, Hongsik , Seo, Seongseok , Lee, Jongeun

Article Issue Date2016-07 View43

MLogNet: A Logarithmic Quantization-Based Accelerator for Depthwise Separable Convolution File

Choi, Jooyeon , Sim, Hyeonuk , Oh, Sangyun , Lee, Sugil , Lee, Jongeun

Article Issue Date2022-12 View120

Non-Uniform Step Size Quantization for Accurate Post-Training Quantization

Oh, Sangyun , Sim, Hyeonuk , Kim, Jounghyun , Lee, Jongeun

Conference Paper Issue Date2022-10-23 View32

Scalable stochastic-computing accelerator for convolutional neural networks File

Sim, Hyeonuk , Nguyen, Dong , Lee, Jongeun , Choi, Kiyoung

Conference Paper Issue Date2017-01-16 View33

Sign-Magnitude SC: Getting 10X Accuracy for Free in Stochastic Computing for Deep Neural Networks File

Zhakatayev, Aidyn , Lee, Sugil , Sim, Hyeonuk , Lee, Jongeun

Conference Paper Issue Date2018-06-24 View47

SparTANN: Sparse Training Accelerator for Neural Networks with Threshold-based Sparsification File

Sim, Hyeonuk , Choi, Jooyeon , Lee, Jongeun

Conference Paper Issue Date2020-08-10 View22

Successive log quantization for cost-efficient neural networks using stochastic computing File

Lee, Sugil , Sim, Hyeonuk , Choi, Jooyeon , Lee, Jongeun

Conference Paper Issue Date2019-06-02 View23

XoMA: Exclusive on-chip memory architecture for energy-efficient deep learning acceleration File

Sim, Hyeonuk , Anderson, Jason H. , Lee, Jongeun

Conference Paper Issue Date2019-01-21 View39

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