Native DRAM Cache: Re-architecting DRAM as a Large-Scale Cache for Data Centers
Yesin Ryu, Yoojin Kim, Giyong Jung, Jungho Ahn, and Jungrae Kim
International Symposium on Computer Architecture (ISCA), acceptance rate = 19.6%, July, 2024
Agile-DRAM: Agile Trade-Offs in Memory Capacity, Latency, and Energy for Data Centers
Jaeyoon Lee, Wonyeong Jung, Dongwhee Kim, Daero Kim, Junseung Lee, and Jungrae Kim
The 30th IEEE International Symposium on High Performance Computer Architecture (HPCA-30), acceptance rate = 18%, March. 2024
UVMMU: Hardware-Offloaded Page Migration for Heterogeneous Computing
Jihun Park, Donghun Jeong, and Jungrae Kim
Design, Automation and Test in Europe Conference (DATE’23), Oral, acceptance rate = 25%, Apr. 2023
Link: [Slides(pptx)
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Multi-Prediction Compression: An Efficient and Scalable Memory Compression Framework for GP-GPU
Hoyong Jin, Donghun Jeong, Taewon Park, Jong Hwan Ko, and Jungrae Kim
IEEE Computer Architecture Letters, vol.21, no.2, pp.37-40, impact factor = 2.118, May. 2022
ERUCA: Efficient DRAM Resource Utilization and Resource Conflict Avoidance for Memory System Parallelism
Sangkug Lym, Heonjae Ha, Yongkee Kwon, Chun-kai Chang, Jungrae Kim, Mattan Erez
The 24th IEEE International Symposium on High Performance Computer Architecture (HPCA-24), acceptance rate = 21%, Feb. 2018.
Bit-Plane Compression: Transforming Data for Better Compression in Many-core Architectures
Jungrae Kim, Michael Sullivan, Esha Choukse, Mattan Erez
The 43rd ACM/IEEE International Symposium on Computer Architecture (ISCA-43), acceptance rate = 19%, June 2016.