PCM: Precision-Controlled Memory System for Energy Efficient Deep Neural Network Training

2020 Design, Automation & Test in Europe Conference & Exhibition (DATE) ◽

10.23919/date48585.2020.9116530 ◽

2020 ◽

Author(s):

Boyeal Kim ◽

Sang Hyun Lee ◽

Hyun Kim ◽

Duy-Thanh Nguyen ◽

Minh-Son Le ◽

...

Keyword(s):

Neural Network ◽

Energy Efficient ◽

Deep Neural Network ◽

Memory System ◽

Neural Network Training ◽

Network Training

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An Energy-Efficient Deep Neural Network Training Processor with Bit-Slice-Level Reconfigurability and Sparsity Exploitation

2021 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS) ◽

10.1109/coolchips52128.2021.9410324 ◽

2021 ◽

Author(s):

Donghyeon Han ◽

Dongseok Im ◽

Gwangtae Park ◽

Youngwoo Kim ◽

Seokchan Song ◽

...

Keyword(s):

Neural Network ◽

Energy Efficient ◽

Deep Neural Network ◽

Neural Network Training ◽

Network Training

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Challenges in Energy-Efficient Deep Neural Network Training with FPGA

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) ◽

10.1109/cvprw50498.2020.00208 ◽

2020 ◽

Author(s):

Yudong Tao ◽

Rui Ma ◽

Mei-Ling Shyu ◽

Shu-Ching Chen

Keyword(s):

Neural Network ◽

Energy Efficient ◽

Deep Neural Network ◽

Neural Network Training ◽

Network Training

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An Overview of Energy-Efficient Hardware Accelerators for On-Device Deep-Neural-Network Training

IEEE Open Journal of Solid-State Circuits ◽

10.1109/ojsscs.2021.3119554 ◽

2021 ◽

Vol 1 ◽

pp. 115-128

Author(s):

Jinsu Lee ◽

Hoi-Jun Yoo

Keyword(s):

Neural Network ◽

Energy Efficient ◽

Deep Neural Network ◽

Hardware Accelerators ◽

Neural Network Training ◽

Network Training

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A Deep Neural Network Training Architecture with Inference-aware Heterogeneous Data-type

IEEE Transactions on Computers ◽

10.1109/tc.2021.3078316 ◽

2021 ◽

pp. 1-1

Author(s):

Seungkyu Choi ◽

Jaekang Shin ◽

Lee-Sup Kim

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Heterogeneous Data ◽

Data Type ◽

Neural Network Training ◽

Network Training

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Deep Neural Network Training Accelerator Designs in ASIC and FPGA

2020 International SoC Design Conference (ISOCC) ◽

10.1109/isocc50952.2020.9333063 ◽

2020 ◽

Author(s):

Shreyas K. Venkataramanaiah ◽

Shihui Yin ◽

Yu Cao ◽

Jae-Sun Seo

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Neural Network Training ◽

Network Training

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Low Complexity Gradient Computation Techniques to Accelerate Deep Neural Network Training

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2021.3130991 ◽

2021 ◽

pp. 1-15

Author(s):

Dongyeob Shin ◽

Geonho Kim ◽

Joongho Jo ◽

Jongsun Park

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Low Complexity ◽

Neural Network Training ◽

Computation Techniques ◽

Network Training ◽

Gradient Computation

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A FeRAM based Volatile/Non-volatile Dual-mode Buffer Memory for Deep Neural Network Training

10.23919/date51398.2021.9474180 ◽

2021 ◽

Author(s):

Yandong Luo ◽

Yuan-Chun Luc ◽

Shimeng Yu

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Neural Network Training ◽

Dual Mode ◽

Buffer Memory ◽

Network Training

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Exploring one pass learning for deep neural network training with averaged stochastic gradient descent

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2014.6854928 ◽

2014 ◽

Author(s):

Zhao You ◽

Xiaorui Wang ◽

Bo Xu

Keyword(s):

Neural Network ◽

Gradient Descent ◽

Deep Neural Network ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Neural Network Training ◽

Network Training

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A 141.4 mW Low-Power Online Deep Neural Network Training Processor for Real-time Object Tracking in Mobile Devices

2018 IEEE International Symposium on Circuits and Systems (ISCAS) ◽

10.1109/iscas.2018.8351398 ◽

2018 ◽

Author(s):

Donghyeon Han ◽

Jinsu Lee ◽

Jinmook Lee ◽

Sungpill Choi ◽

Hoi-Jun Yoo

Keyword(s):

Neural Network ◽

Low Power ◽

Object Tracking ◽

Real Time ◽

Mobile Devices ◽

Deep Neural Network ◽

Neural Network Training ◽

Network Training

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A Unified Coded Deep Neural Network Training Strategy based on Generalized PolyDot codes

2018 IEEE International Symposium on Information Theory (ISIT) ◽

10.1109/isit.2018.8437852 ◽

2018 ◽

Author(s):

Sanghamitra Dutta ◽

Ziqian Bai ◽

Haewon Jeong ◽

Tze Meng Low ◽

Pulkit Grover

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Neural Network Training ◽

Training Strategy ◽

Network Training

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