our Research AREA
Explore next-generation computer architecture, including deep learning accelerators, memory systems, on-chip networks, and scale-out systems.
High-performance and reliable interconnection network design on heterogeneous systems.
Micro-architectural attacks on parallel architecture (GPU) and server-scale NUMA system.
- Dec 2020 – Congratulations ! Our GPU security (Trident – side channel attack) and Deadlock (BoomGate – deadlock avoidance) papers have been accepted on HPCA 2021.
Sep 2020 – We are currently recruiting new MS students in the area of hardware security and deep learning architecture. If you are interested, please contact the professor.
Sep 2020 – Welcome to Jeremy (Ph.D.) and Sheryl (Ph.D) to the lab!
Aug 2020 – One paper (on TLB in GPUs) and one poster (on NoC in GPUs) will appear in PACT’20.
Mar 2020 – Collaboration work with Facebook on Deep Learning Training has been published on ArXiv
Mar 2020 – Welcome Jangpyo (M.S.) and Jihyun (M.S.) to the lab!
Feb 2020 – Collaborative work (NeuMMU – ASPLOS’20) and (Griffin – HPCA’20) have been accepted!
Nov 2019 – Ghost Routers: Energy-efficient Asymmetric Multicore Processors with Symmetric NOCs. [NOCS’19]
Jun 2019 – A Novel Covert Channel Attack Using Memory Encryption Engine Cache. [DAC’19]
Oct 2018 – Multi-dimensional Parallel Training of Winograd Layer on Memory-Centric Architecture. [MICRO’18]
Jun 2018 – TCEP: Traffic Consolidation for Energy-Proportional High-Radix Networks. [ISCA’18]
Apr 2018 – BebeCODE: Collaborative Child Development Tracking System. [CHI’18]
May 2017 – PlayBetter: A Phone-based Baby Play Support System for Childcare Bystander Parents. [CHI’17]
Apr 2017 – History-Based Arbitration for Fairness in Processor-Interconnect of NUMA Servers. [ASPLOS’17]