Our paper “Towards GPU-driven Code Execution for Distributed Deep Learning” received the best paper award in MLArchSys 2022.
Changho Hwang and Prof. KyoungSoo Park received a gold prize at 28th Samsung Humantech Award.
Our paper “Accelerating GNN Training with Locality-Aware Partial Execution” received the best paper award in APSys 2021.
Our paper “AccelTCP: Accelerating Network Applications with Stateful TCP Offloading” received a bronze prize at 26th Samsung Humantech Award.
Our paper “mOS: A Reusable Networking Stack for Flow Monitoring Middleboxes” received the best paper award in NSDI 2017.
KAIST developed a cellular data offloading system that maximizes Wi-Fi utilization (YTN Science, 2015-04-20)
Prof. KyoungSoo Park and his research team in KAIST EE has developed a mobile network platform that supports transparent switching between the Wi-Fi network and 3G/LTE to maximize Wi-Fi network usage.
Our paper “mTCP: a Highly Scalable User-level TCP Stack for Multicore Systems” received the Community Award in NSDI 2014.
KAIST developed the world’s best intrusion detection system (JoongAng Ilbo, 2012-09-05)
KAIST announced that Prof. Kyung-Soo Park and Prof. Yung Yi of the Department of Electrical Engineering in KAIST have developed Kargus, a software-based network intrusion detection system that can perform tens of Gbps performance on general-purpose servers in collaboration with Bae Byung-chul, team leader of theNSRI.
Our paper “Kargus: A Software-based High-Speed Intrusion Detection System” is selected as KAIST’s Top 10 Research Achievements of the Year (2012).