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2020 – today
- 2024
[j10]Sungmin Yun
, Hwayong Nam, Jaehyun Park, Byeongho Kim, Jung Ho Ahn, Eojin Lee:
GraNDe: Efficient Near-Data Processing Architecture for Graph Neural Networks. IEEE Trans. Computers 73(10): 2391-2404 (2024)- [c14]Juneseo Chang, Wanju Doh, Yaebin Moon, Eojin Lee, Jung Ho Ahn:
IDT: Intelligent Data Placement for Multi-tiered Main Memory with Reinforcement Learning. HPDC 2024: 69-82 - [c13]Sungmin Yun, Hwayong Nam, Kwanhee Kyung, Jaehyun Park, Byeongho Kim, Yongsuk Kwon, Eojin Lee, Jung Ho Ahn:
CLAY: CXL-based Scalable NDP Architecture Accelerating Embedding Layers. ICS 2024: 338-351 - 2023
- [j9]Yaebin Moon, Wanju Doh, Kwanhee Kyung, Eojin Lee, Jung Ho Ahn:
ADT: Aggressive Demotion and Promotion for Tiered Memory. IEEE Comput. Archit. Lett. 22(1): 21-24 (2023) - [j8]Deok-Jae Oh, Yaebin Moon, Do Kyu Ham, Tae Jun Ham, Yongjun Park, Jae W. Lee, Jung Ho Ahn, Eojin Lee:
MaPHeA: A Framework for Lightweight Memory Hierarchy-aware Profile-guided Heap Allocation. ACM Trans. Embed. Comput. Syst. 22(1): 2:1-2:28 (2023) - [c12]Minbok Wi, Jaehyun Park, Seoyoung Ko, Michael Jaemin Kim, Nam Sung Kim, Eojin Lee, Jung Ho Ahn:
SHADOW: Preventing Row Hammer in DRAM with Intra-Subarray Row Shuffling. HPCA 2023: 333-346 - [c11]Michael Jaemin Kim, Minbok Wi, Jaehyun Park, Seoyoung Ko, Jaeyoung Choi, Hwayong Nam, Nam Sung Kim, Jung Ho Ahn, Eojin Lee:
How to Kill the Second Bird with One ECC: The Pursuit of Row Hammer Resilient DRAM. MICRO 2023: 986-1001 - 2022
- [j7]Sungmin Yun, Byeongho Kim, Jaehyun Park, Hwayong Nam, Jung Ho Ahn, Eojin Lee:
GraNDe: Near-Data Processing Architecture With Adaptive Matrix Mapping for Graph Convolutional Networks. IEEE Comput. Archit. Lett. 21(2): 45-48 (2022) - [c10]Shinhaeng Kang, Sukhan Lee, Byeongho Kim, Hweesoo Kim, Kyomin Sohn, Nam Sung Kim, Eojin Lee:
An FPGA-based RNN-T Inference Accelerator with PIM-HBM. FPGA 2022: 146-152 - 2021
- [j6]Wonkyung Jung, Eojin Lee, Sangpyo Kim, Jongmin Kim, Namhoon Kim, Keewoo Lee, Chohong Min, Jung Hee Cheon, Jung Ho Ahn:
Accelerating Fully Homomorphic Encryption Through Architecture-Centric Analysis and Optimization. IEEE Access 9: 98772-98789 (2021) - [j5]Byeongho Kim, Jaehyun Park, Eojin Lee, Minsoo Rhu, Jung Ho Ahn:
TRiM: Tensor Reduction in Memory. IEEE Comput. Archit. Lett. 20(1): 5-8 (2021) - [j4]Daeyong Jin, Eojin Lee, Kyonghwan Kwon, Taeyun Kim:
A Deep Learning Model Using Satellite Ocean Color and Hydrodynamic Model to Estimate Chlorophyll-a Concentration. Remote. Sens. 13(10): 2003 (2021) - [c9]Heesu Kim, Hanmin Park, Taehyun Kim, Kwanheum Cho, Eojin Lee, Soojung Ryu, Hyuk-Jae Lee, Kiyoung Choi, Jinho Lee:
GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent. HPCA 2021: 249-262 - [c8]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:
Hardware Architecture and Software Stack for PIM Based on Commercial DRAM Technology : Industrial Product. ISCA 2021: 43-56 - [c7]Wonkyung Jung, Eojin Lee, Sangpyo Kim, Namhoon Kim, Keewoo Lee, Chohong Min, Jung Hee Cheon, Jung Ho Ahn:
Accelerating Fully Homomorphic Encryption Through Microarchitecture-Aware Analysis and Optimization. ISPASS 2021: 237-239 - [c6]Deok-Jae Oh, Yaebin Moon, Eojin Lee, Tae Jun Ham, Yongjun Park, Jae W. Lee, Jung Ho Ahn:
MaPHeA: a lightweight memory hierarchy-aware profile-guided heap allocation framework. LCTES 2021: 24-36 - [c5]Jaehyun Park, Byeongho Kim, Sungmin Yun, Eojin Lee, Minsoo Rhu, Jung Ho Ahn:
TRiM: Enhancing Processor-Memory Interfaces with Scalable Tensor Reduction in Memory. MICRO 2021: 268-281 - [i2]Heesu Kim, Hanmin Park, Taehyun Kim, Kwanheum Cho, Eojin Lee, Soojung Ryu, Hyuk-Jae Lee, Kiyoung Choi, Jinho Lee:
GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent. CoRR abs/2102.07511 (2021) - 2020
- [j3]Ingab Kang, Eojin Lee, Jung Ho Ahn:
CAT-TWO: Counter-Based Adaptive Tree, Time Window Optimized for DRAM Row-Hammer Prevention. IEEE Access 8: 17366-17377 (2020) - [j2]Byeongho Kim, Jongwook Chung, Eojin Lee, Wonkyung Jung, Sunjung Lee, Jaewan Choi, Jaehyun Park, Minbok Wi, Sukhan Lee, Jung Ho Ahn:
MViD: Sparse Matrix-Vector Multiplication in Mobile DRAM for Accelerating Recurrent Neural Networks. IEEE Trans. Computers 69(7): 955-967 (2020) - [c4]Yeonhong Park, Woosuk Kwon, Eojin Lee, Tae Jun Ham, Jung Ho Ahn, Jae W. Lee:
Graphene: Strong yet Lightweight Row Hammer Protection. MICRO 2020: 1-13 - [i1]Wonkyung Jung, Eojin Lee, Sangpyo Kim, Keewoo Lee, Namhoon Kim, Chohong Min, Jung Hee Cheon, Jung Ho Ahn:
HEAAN Demystified: Accelerating Fully Homomorphic Encryption Through Architecture-centric Analysis and Optimization. CoRR abs/2003.04510 (2020)
2010 – 2019
- 2019
- [c3]Eojin Lee, Ingab Kang, Sukhan Lee, G. Edward Suh, Jung Ho Ahn:
TWiCe: preventing row-hammering by exploiting time window counters. ISCA 2019: 385-396 - 2018
- [j1]Eojin Lee, Sukhan Lee, G. Edward Suh, Jung Ho Ahn:
TWiCe: Time Window Counter Based Row Refresh to Prevent Row-Hammering. IEEE Comput. Archit. Lett. 17(1): 96-99 (2018) - 2017
- [c2]Yuhwan Ro, Hyunyoon Cho, Eojin Lee, Daejin Jung, Young Hoon Son, Jung Ho Ahn, Jae W. Lee:
SOUP-N-SALAD: Allocation-Oblivious Access Latency Reduction with Asymmetric DRAM Microarchitectures. HPCA 2017: 517-528 - [c1]Eojin Lee, Jongwook Chung, Daejin Jung, Sukhan Lee, Sheng Li, Jung Ho Ahn:
Work as a team or individual: Characterizing the system-level impacts of main memory partitioning. IISWC 2017: 156-166
Coauthor Index
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last updated on 2024-10-04 20:59 CEST by the dblp team
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