Jongryool Kim

19 papers A* 1A 1B 1Misc 1Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Double-P: Hierarchical Top-P Sparse Attention for Long-Context LLMs.
CoRR
Wentao Ni, Kangqi Zhang, Zhongming Yu, Oren Nelson, Mingu Lee, Hong Cai, Fatih Porikli, Jongryool Kim, Zhijian Liu, Jishen Zhao
2025 J jnl
Accelerating Sparse Matrix-Matrix Multiplication on GPUs with Processing Near HBMs.
CoRR
Shiju Li, Younghoon Min, Hane Yie, Hoshik Kim, Soohong Ahn, Joonseop Sim, Chul-Ho Lee, Jongryool Kim
2025 J jnl
Cocoon: A System Architecture for Differentially Private Training with Correlated Noises.
CoRR
Donghwan Kim, Xin Gu, Jinho Baek, Timothy Lo, Younghoon Min, Kwangsik Shin, Jongryool Kim, Jongse Park, Kiwan Maeng
2025 B conf
SDT-GNN: Streaming-Based Distributed Training Framework for Graph Neural Networks.
IEEE Big Data
Xin Huang, Weipeng Zhuo, Minh Phu Vuong, Shiju Li, Jongryool Kim, Bradley Rees, Chul-Ho Lee
2025 J jnl
TraCT: Disaggregated LLM Serving with CXL Shared Memory KV Cache at Rack-Scale.
CoRR
Dongha Yoon, Younghoon Min, Hoshik Kim, Sam H. Noh, Jongryool Kim
2025 A conf
cMPI: Using CXL Memory Sharing for MPI One-Sided and Two-Sided Inter-Node Communications.
SC
Xi Wang, Bin Ma, Jongryool Kim, Byungil Koh, Hoshik Kim, Dong Li
2025 J jnl
cMPI: Using CXL Memory Sharing for MPI One-Sided and Two-Sided Inter-Node Communications.
CoRR
Xi Wang, Bin Ma, Jongryool Kim, Byungil Koh, Hoshik Kim, Dong Li
2024 J jnl
CATGNN: Cost-Efficient and Scalable Distributed Training for Graph Neural Networks.
CoRR
Xin Huang, Weipeng Zhuo, Minh Phu Vuong, Shiju Li, Jongryool Kim, Bradley Rees, Chul-Ho Lee
2023 — conf
Computational Storage for an Energy-Efficient Deep Neural Network Training System.
Euro-Par
Shiju Li, Kevin Tang, Jin Lim, Chul-Ho Lee, Jongryool Kim
2022 J jnl
Building A Trusted Execution Environment for In-Storage Computing.
CoRR
Yuqi Xue, Luyi Kang, Weiwei Jia, Xiaohao Wang, Jongryool Kim, Changhwan Youn, Myeong Joon Kang, Hyung Jin Lim, Bruce L. Jacob, Jian Huang
2022 — conf
Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass.
IISWC
Xin Huang, Jongryool Kim, Bradley Rees, Chul-Ho Lee
2022 J jnl
Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass.
CoRR
Xin Huang, Jongryool Kim, Bradley Rees, Chul-Ho Lee
2021 A* conf
IceClave: A Trusted Execution Environment for In-Storage Computing.
MICRO
Luyi Kang, Yuqi Xue, Weiwei Jia, Xiaohao Wang, Jongryool Kim, Changhwan Youn, Myeong Joon Kang, Hyung Jin Lim, Bruce L. Jacob, Jian Huang
2021 J jnl
IceClave: A Trusted Execution Environment for In-Storage Computing.
CoRR
Luyi Kang, Yuqi Xue, Weiwei Jia, Xiaohao Wang, Jongryool Kim, Changhwan Youn, Myeong Joon Kang, Hyung Jin Lim, Bruce L. Jacob, Jian Huang
2011 — conf
Performance Evaluation of Reliable Real-Time Data Distribution for UAV-aided Tactical Networks.
FGIT-CA/CES3
Jongryool Kim, KeyongTae Kim, Soo-Hyung Lee, JongWon Kim
2011 — conf
Reducing transmission latency of real-time resilient video distribution by employing cumulative random linear coding.
CCNC
Jongryool Kim, JongWon Kim, Joon-Sang Park
2011 Misc conf
Simulating Reliable Real-Time Data Distribution for UAV-aided Tactical Networks.
CISIS
Jongryool Kim, JongWon Kim, KeyongTae Kim, Soo-Hyung Lee, Wontae Kim, Seung-Min Park
2008 — conf
Challenges and Realization of Real-Time Multi-view Video Transport Systems over IP Networks.
IIH-MSP
Jongryool Kim, Koh Choi, Changhyeok Bae, JongWon Kim
2008 J jnl
Real-time synchronous multi-view video transport system over IP networks.
IEEE Trans. Consumer Electron.
Jongryool Kim, JongWon Kim