Yeonhong Park

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Earliness Tardiness

Level Parallelism

Weighted Number Of Tardy Jobs

Top Venues

Proc. VLDB Endow.

Publications

Yeonhong Park, Jake Hyun, SangLyul Cho, Bonggeun Sim, Jae W. Lee
Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs. CoRR (2024)
Woohyeon Baek, Jonghyun Bae, Donghyun Lee, Hyunwoong Bae, Yeonhong Park, Jae W. Lee
Liquid: Mix-and-Match Multiple Image Formats to Balance DNN Training Pipeline. APSys (2023)
Michael Jaemin Kim, Jaehyun Park, Yeonhong Park, Wanju Doh, Namhoon Kim, Tae Jun Ham, Jae W. Lee, Jung Ho Ahn
Mithril: Cooperative Row Hammer Protection on Commodity DRAM Leveraging Managed Refresh. HPCA (2022)
Yeonhong Park, Sunhong Min, Jae W. Lee
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching. CoRR (2022)
Yeonhong Park, Sunhong Min, Jae W. Lee
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching. Proc. VLDB Endow. 15 (11) (2022)
Hoon Shin, Rihae Park, Seung Yul Lee, Yeonhong Park, Hyunseung Lee, Jae W. Lee
Effective zero compression on ReRAM-based sparse DNN accelerators. DAC (2022)
Michael Jaemin Kim, Jaehyun Park, Yeonhong Park, Wanju Doh, Namhoon Kim, Tae Jun Ham, Jae W. Lee, Jung Ho Ahn
Mithril: Cooperative Row Hammer Protection on Commodity DRAM Leveraging Managed Refresh. CoRR (2021)
Young H. Oh, Seonghak Kim, Yunho Jin, Sam Son, Jonghyun Bae, Jongsung Lee, Yeonhong Park, Dong Uk Kim, Tae Jun Ham, Jae W. Lee
Layerweaver: Maximizing Resource Utilization of Neural Processing Units via Layer-Wise Scheduling. HPCA (2021)
Jun Heo, Seung Yul Lee, Sunhong Min, Yeonhong Park, Sungjun Jung, Tae Jun Ham, Jae W. Lee
BOSS: Bandwidth-Optimized Search Accelerator for Storage-Class Memory. ISCA (2021)
Yeonhong Park, Seung Yul Lee, Hoon Shin, Jun Heo, Tae Jun Ham, Jae W. Lee
Unlocking Wordline-level Parallelism for Fast Inference on RRAM-based DNN Accelerator. ICCAD (2020)
Tae Jun Ham, Sungjun Jung, Seonghak Kim, Young H. Oh, Yeonhong Park, Yoonho Song, Jung-Hun Park, Sanghee Lee, Kyoung Park, Jae W. Lee, Deog-Kyoon Jeong
: Accelerating Attention Mechanisms in Neural Networks with Approximation. HPCA (2020)
Yeonhong Park, Woosuk Kwon, Eojin Lee, Tae Jun Ham, Jung Ho Ahn, Jae W. Lee
Graphene: Strong yet Lightweight Row Hammer Protection. MICRO (2020)
Tae Jun Ham, Sungjun Jung, Seonghak Kim, Young H. Oh, Yeonhong Park, Yoonho Song, Jung-Hun Park, Sanghee Lee, Kyoung Park, Jae W. Lee, Deog-Kyoon Jeong
: Accelerating Attention Mechanisms in Neural Networks with Approximation. CoRR (2020)