Sunjung Lee

According to our database, Sunjung Lee authored at least 7 papers between 2018 and 2024.

Collaborative distances:

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

2024

The Breakthrough Memory Solutions for Improved Performance on LLM Inference.

Byeongho Kim, Sanghoon Cha, Sangsoo Park, Jieun Lee, Sukhan Lee, Shinhaeng Kang, Jinin So, Kyungsoo Kim, Jin Jung, Jong-Geon Lee, Sunjung Lee, Yoonah Paik, Hyeonsu Kim, Jin-Seong Kim, Won-Jo Lee, Yuhwan Ro, Yeongon Cho, Jin Hyun Kim, Joon-Ho Song, Jaehoon Yu, Seungwon Lee, Jeonghyeon Cho, Kyomin Sohn

IEEE Micro, 2024

2022

MVP: An Efficient CNN Accelerator with Matrix, Vector, and Processing-Near-Memory Units.

Sunjung Lee, Jaewan Choi, Wonkyung Jung, Byeongho Kim, Jaehyun Park, Hweesoo Kim, Jung Ho Ahn

ACM Trans. Design Autom. Electr. Syst., 2022

Future Scaling of Memory Hierarchy for Tensor Cores and Eliminating Redundant Shared Memory Traffic Using Inter-Warp Multicasting.

Sunjung Lee, Seunghwan Hwang, Michael Jaemin Kim, Jaewan Choi, Jung Ho Ahn

IEEE Trans. Computers, 2022

2021

Row-Streaming Dataflow Using a Chaining Buffer and Systolic Array+ Structure.

Hweesoo Kim, Sunjung Lee, Jaewan Choi, Jung Ho Ahn

IEEE Comput. Archit. Lett., 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

2019

Restructuring Batch Normalization to Accelerate CNN Training.

Wonkyung Jung, Daejin Jung, Byeongho Kim, Sunjung Lee, Wonjong Rhee, Jung Ho Ahn

Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

2018

Partitioning Compute Units in CNN Acceleration for Statistical Memory Traffic Shaping.

Daejin Jung, Sunjung Lee, Wonjong Rhee, Jung Ho Ahn

IEEE Comput. Archit. Lett., 2018