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

Sim, Hyeonuk , Lee, Jongeun

Conference Paper Issue Date2019-01-21 View12
Mapping imperfect loops to coarse-grained reconfigurable architectures File

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

Article Issue Date2016-07 View17
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 View16
Non-Uniform Step Size Quantization for Accurate Post-Training Quantization

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

Conference Paper Issue Date2022-10-23 View7
Scalable stochastic-computing accelerator for convolutional neural networks File

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

Conference Paper Issue Date2017-01-16 View10
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 View18
SparTANN: Sparse Training Accelerator for Neural Networks with Threshold-based Sparsification File

Sim, Hyeonuk , Choi, Jooyeon , Lee, Jongeun

Conference Paper Issue Date2020-08-10 View15
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 View7
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 View13
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