Eojin Lee

According to our database, Eojin Lee authored at least 22 papers between 2017 and 2023.

Collaborative distances:

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

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

How to Kill the Second Bird with One ECC: The Pursuit of Row Hammer Resilient DRAM.

Michael Jaemin Kim, Minbok Wi, Jaehyun Park, Seoyoung Ko, Jaeyoung Choi, Hwayong Nam, Nam Sung Kim, Jung Ho Ahn, Eojin Lee

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

SHADOW: Preventing Row Hammer in DRAM with Intra-Subarray Row Shuffling.

Minbok Wi, Jaehyun Park, Seoyoung Ko, Michael Jaemin Kim, Nam Sung Kim, Eojin Lee, Jung Ho Ahn

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

2022

GraNDe: Near-Data Processing Architecture With Adaptive Matrix Mapping for Graph Convolutional Networks.

Sungmin Yun, Byeongho Kim, Jaehyun Park, Hwayong Nam, Jung Ho Ahn, Eojin Lee

IEEE Comput. Archit. Lett., 2022

An FPGA-based RNN-T Inference Accelerator with PIM-HBM.

Shinhaeng Kang, Sukhan Lee, Byeongho Kim, Hweesoo Kim, Kyomin Sohn, Nam Sung Kim, Eojin Lee

Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 2022

2021

A Deep Learning Model Using Satellite Ocean Color and Hydrodynamic Model to Estimate Chlorophyll-a Concentration.

Daeyong Jin, Eojin Lee, Kyonghwan Kwon, Taeyun Kim

Remote. Sens., 2021

TRiM: Tensor Reduction in Memory.

Byeongho Kim, Jaehyun Park, Eojin Lee, Minsoo Rhu, Jung Ho Ahn

IEEE Comput. Archit. Lett., 2021

Accelerating Fully Homomorphic Encryption Through Architecture-Centric Analysis and Optimization.

Wonkyung Jung, Eojin Lee, Sangpyo Kim, Jongmin Kim, Namhoon Kim, Keewoo Lee, Chohong Min, Jung Hee Cheon, Jung Ho Ahn

IEEE Access, 2021

TRiM: Enhancing Processor-Memory Interfaces with Scalable Tensor Reduction in Memory.

Jaehyun Park, Byeongho Kim, Sungmin Yun, Eojin Lee, Minsoo Rhu, Jung Ho Ahn

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 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

Accelerating Fully Homomorphic Encryption Through Microarchitecture-Aware Analysis and Optimization.

Wonkyung Jung, Eojin Lee, Sangpyo Kim, Namhoon Kim, Keewoo Lee, Chohong Min, Jung Hee Cheon, Jung Ho Ahn

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

Hardware Architecture and Software Stack for PIM Based on Commercial DRAM Technology : Industrial Product.

Suk Han Lee, Shinhaeng Kang, Jaehoon Lee, Hyeonsu Kim, Eojin Lee, Seungwoo Seo, Hosang Yoon, Seungwon Lee, Kyounghwan Lim, Hyunsung Shin, Jinhyun Kim, Seongil O, Anand Iyer, David Wang, Kyomin Sohn, Nam Sung Kim

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent.

Heesu Kim, Hanmin Park, Taehyun Kim, Kwanheum Cho, Eojin Lee, Soojung Ryu, Hyuk-Jae Lee, Kiyoung Choi, Jinho Lee

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020

MViD: Sparse Matrix-Vector Multiplication in Mobile DRAM for Accelerating Recurrent Neural Networks.

Byeongho Kim, Jongwook Chung, Eojin Lee, Wonkyung Jung, Sunjung Lee, Jaewan Choi, Jaehyun Park, Minbok Wi, Sukhan Lee, Jung Ho Ahn

IEEE Trans. Computers, 2020

HEAAN Demystified: Accelerating Fully Homomorphic Encryption Through Architecture-centric Analysis and Optimization.

Wonkyung Jung, Eojin Lee, Sangpyo Kim, Keewoo Lee, Namhoon Kim, Chohong Min, Jung Hee Cheon, Jung Ho Ahn

CoRR, 2020

CAT-TWO: Counter-Based Adaptive Tree, Time Window Optimized for DRAM Row-Hammer Prevention.

Ingab Kang, Eojin Lee, Jung Ho Ahn

IEEE Access, 2020

Graphene: Strong yet Lightweight Row Hammer Protection.

Yeonhong Park, Woosuk Kwon, Eojin Lee, Tae Jun Ham, Jung Ho Ahn, Jae W. Lee

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

2019

TWiCe: preventing row-hammering by exploiting time window counters.

Eojin Lee, Ingab Kang, Sukhan Lee, G. Edward Suh, Jung Ho Ahn

Proceedings of the 46th International Symposium on Computer Architecture, 2019

2018

TWiCe: Time Window Counter Based Row Refresh to Prevent Row-Hammering.

Eojin Lee, Sukhan Lee, G. Edward Suh, Jung Ho Ahn

IEEE Comput. Archit. Lett., 2018

2017

Work as a team or individual: Characterizing the system-level impacts of main memory partitioning.

Eojin Lee, Jongwook Chung, Daejin Jung, Sukhan Lee, Sheng Li, Jung Ho Ahn

Proceedings of the 2017 IEEE International Symposium on Workload Characterization, 2017

SOUP-N-SALAD: Allocation-Oblivious Access Latency Reduction with Asymmetric DRAM Microarchitectures.

Yuhwan Ro, Hyunyoon Cho, Eojin Lee, Daejin Jung, Young Hoon Son, Jung Ho Ahn, Jae W. Lee

Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017