Hanmin Park

GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent

Heesu Kim, Hanmin Park, Taehyun Kim et al. · 2021 · 44 citations

Deep Neural Networks, Gradient Descent, Machine Learning +15

Acceleration of DNN Backward Propagation by Selective Computation of Gradients

Gunhee Lee, Hanmin Park, Namhyung Kim et al. · 2019 · 14 citations

Artificial Intelligence, Forward Propagation, Convolutional Neural Network +15

ComPreEND: Computation Pruning through Predictive Early Negative Detection for ReLU in a Deep Neural Network Accelerator

Namhyung Kim, Hanmin Park, Dongwoo Lee et al. · IEEE Transactions on Computers · 2021 · 13 citations

Artificial Intelligence, Convolutional Neural Network, Engineering +14

Aging Compensation With Dynamic Computation Approximation

Heesu Kim, Jong-Ho Kim, Hussam Amrouch et al. · IEEE Transactions on Circuits and Systems I Regular Papers · 2020 · 12 citations

Engineering, Vlsi Design, Timing Violation +19

Position-based weighted round-robin arbitration for equality of service in many-core network-on-chips

Hanmin Park, Ki‐Young Choi · 2012 · 10 citations