Eunji Jeong

发表

Auto-Parallelizing Deep Learning for Multi-machine , Multi-GPU Environments

Joo Seong Jeong, Byung-Gon Chun, Gyeong-In Yu, 2017 .

TensorRT-Based Framework and Optimization Methodology for Deep Learning Inference on Jetson Boards

Eunji Jeong, Jangryul Kim, Soonhoi Ha, 2022, ACM Transactions on Embedded Computing Systems.

Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks

Byung-Gon Chun, Gyeong-In Yu, Sungwoo Cho, 2018, EuroSys.

Clinical features and management of individuals admitted to hospital with monkeypox and associated complications across the UK: a retrospective cohort study.

Mayur R Gamit, J. Canny, M. Beadsworth, 2022, The Lancet. Infectious diseases.

Improving the expressiveness of deep learning frameworks with recursion

Byung-Gon Chun, Gyeong-In Yu, Eunji Jeong, 2018, EuroSys.

Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning pdf

Byung-Gon Chun, Gyeong-In Yu, Eunji Jeong, 2020, NeurIPS.

JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs pdf

Byung-Gon Chun, Gyeong-In Yu, Sungwoo Cho, 2018, NSDI.

Deep Learning Inference Parallelization on Heterogeneous Processors With TensorRT

Soonhoi Ha, EunJin Jeong, Jangryul Kim, 2022, IEEE Embedded Systems Letters.

Stage-based Hyper-parameter Optimization for Deep Learning pdf

Byung-Gon Chun, Gyeong-In Yu, Sungwoo Cho, 2019, ArXiv.

Parallax: Automatic Data-Parallel Training of Deep Neural Networks pdf

Byung-Gon Chun, Soojeong Kim, Gyeong-In Yu, 2018, ArXiv.

Speculative Symbolic Graph Execution of Imperative Deep Learning Programs

Byung-Gon Chun, Gyeong-In Yu, Sungwoo Cho, 2019, ACM SIGOPS Oper. Syst. Rev..