Gwangtae Park

7.7 LNPU: A 25.3TFLOPS/W Sparse Deep-Neural-Network Learning Processor with Fine-Grained Mixed Precision of FP8-FP16

Jinsu Lee, Juhyoung Lee, Donghyeon Han et al. · 2019 · 154 citations

Convolutional Neural Network, Engineering, Machine Learning +17

HNPU: An Adaptive DNN Training Processor Utilizing Stochastic Dynamic Fixed-Point and Active Bit-Precision Searching

Donghyeon Han, Dongseok Im, Gwangtae Park et al. · IEEE Journal of Solid-State Circuits · 2021 · 56 citations

Artificial Intelligence, Engineering, Machine Learning +18

An Energy-Efficient Sparse Deep-Neural-Network Learning Accelerator With Fine-Grained Mixed Precision of FP8–FP16

Jinsu Lee, Juhyoung Lee, Donghyeon Han et al. · IEEE Solid-State Circuits Letters · 2019 · 24 citations

Engineering, Machine Learning, Hardware Acceleration +14

An Overview of Sparsity Exploitation in CNNs for On-Device Intelligence With Software-Hardware Cross-Layer Optimizations

Sanghoon Kang, Gwangtae Park, Sangjin Kim et al. · IEEE Journal on Emerging and Selected Topics in Circuits and Systems · 2021 · 22 citations

Sibia: Signed Bit-slice Architecture for Dense DNN Acceleration with Slice-level Sparsity Exploitation

Dongseok Im, Gwangtae Park, Zhiyong Li et al. · 2023 · 21 citations