Junki Park

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 10

Top Topics

Restricted Boltzmann Machine

Top Venues

Publications

Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi
NN-LUT: neural approximation of non-linear operations for efficient transformer inference. DAC (2022)
Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi
NN-LUT: Neural Approximation of Non-Linear Operations for Efficient Transformer Inference. CoRR (2021)
Junki Park, Hyunsung Yoon, Daehyun Ahn, Jungwook Choi, Jae-Joon Kim
OPTIMUS: OPTImized matrix MUltiplication Structure for Transformer neural network accelerator. MLSys (2020)
Wooseok Yi, Junki Park, Jae-Joon Kim
GeCo: Classification Restricted Boltzmann Machine Hardware for On-Chip Semisupervised Learning and Bayesian Inference. IEEE Trans. Neural Networks Learn. Syst. 31 (1) (2020)
Junki Park, Wooseok Yi, Daehyun Ahn, Jaeha Kung, Jae-Joon Kim
Balancing Computation Loads and Optimizing Input Vector Loading in LSTM Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (9) (2020)
Jongeun Koo, Eunhyeok Park, Dongyoung Kim, Junki Park, Sungju Ryu, Sungjoo Yoo, Jae-Joon Kim
Low-overhead, one-cycle timing-error detection and correction technique for flip-flop based pipelines. IEICE Electron. Express 16 (11) (2019)
Jaeha Kung, Junki Park, Sehun Park, Jae-Joon Kim
Peregrine: A Flexible Hardware Accelerator for LSTM with Limited Synaptic Connection Patterns. DAC (2019)
Junki Park, Jaeha Kung, Wooseok Yi, Jae-Joon Kim
Maximizing system performance by balancing computation loads in LSTM accelerators. DATE (2018)
Wooseok Yi, Junki Park, Jae-Joon Kim
GeCo: classification restricted Boltzmann machine hardware for on-chip learning. RSP (2017)
Jongeun Koo, Eunwoo Song, Eunhyeok Park, Dongyoung Kim, Junki Park, Sungju Ryu, Sungjoo Yoo, Jae-Joon Kim
Area-efficient one-cycle correction scheme for timing errors in flip-flop based pipelines. A-SSCC (2016)