Yaebin Moon

According to our database, Yaebin Moon authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

IDT: Intelligent Data Placement for Multi-tiered Main Memory with Reinforcement Learning.

Juneseo Chang, Wanju Doh, Yaebin Moon, Eojin Lee, Jung Ho Ahn

Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024

2023

MaPHeA: A Framework for Lightweight Memory Hierarchy-aware Profile-guided Heap Allocation.

Deok-Jae Oh, Yaebin Moon, Do Kyu Ham, Tae Jun Ham, Yongjun Park, Jae W. Lee, Jung Ho Ahn, Eojin Lee

ACM Trans. Embed. Comput. Syst., 2023

ADT: Aggressive Demotion and Promotion for Tiered Memory.

Yaebin Moon, Wanju Doh, Kwanhee Kyung, Eojin Lee, Jung Ho Ahn

IEEE Comput. Archit. Lett., 2023

2021

MaPHeA: a lightweight memory hierarchy-aware profile-guided heap allocation framework.

Deok-Jae Oh, Yaebin Moon, Eojin Lee, Tae Jun Ham, Yongjun Park, Jae W. Lee, Jung Ho Ahn

Proceedings of the LCTES '21: 22nd ACM SIGPLAN/SIGBED International Conference on Languages, 2021

BCD deduplication: effective memory compression using partial cache-line deduplication.

Sungbo Park, Ingab Kang, Yaebin Moon, Jung Ho Ahn, G. Edward Suh

Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021