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Byeongho Kim
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2020 – today
- 2024
- [j6]Byeongho Kim
, Sanghoon Cha, Sangsoo Park, Jieun Lee, Sukhan Lee, Shinhaeng Kang, Jinin So
The Breakthrough Memory Solutions for Improved Performance on LLM Inference. IEEE Micro 44(3): 40-48 (2024) - [j5]Sungmin Yun
GraNDe: Efficient Near-Data Processing Architecture for Graph Neural Networks. IEEE Trans. Computers 73(10): 2391-2404 (2024) - [c7]Sungmin Yun
CLAY: CXL-based Scalable NDP Architecture Accelerating Embedding Layers. ICS 2024: 338-351 - [i2]Sungmin Yun, Kwanhee Kyung, Juhwan Cho, Jaewan Choi, Jongmin Kim, Byeongho Kim, Sukhan Lee, Kyomin Sohn, Jung Ho Ahn:
Duplex: A Device for Large Language Models with Mixture of Experts, Grouped Query Attention, and Continuous Batching. CoRR abs/2409.01141 (2024) - 2023
- [c6]Jin Hyun Kim, Yuhwan Ro, Jinin So, Sukhan Lee, Shinhaeng Kang, YeonGon Cho, Hyeonsu Kim, Byeongho Kim, Kyungsoo Kim, Sangsoo Park, Jin-Seong Kim, Sanghoon Cha, Won-Jo Lee, Jin Jung, Jonggeon Lee, Jieun Lee, Joon-Ho Song, Seungwon Lee, Jeonghyeon Cho, Jaehoon Yu, Kyomin Sohn:
Samsung PIM/PNM for Transfmer Based AI : Energy Efficiency on PIM/PNM Cluster. HCS 2023: 1-31 - 2022
- [j4]Sungmin Yun
GraNDe: Near-Data Processing Architecture With Adaptive Matrix Mapping for Graph Convolutional Networks. IEEE Comput. Archit. Lett. 21(2): 45-48 (2022) - [j3]Sunjung Lee
MVP: An Efficient CNN Accelerator with Matrix, Vector, and Processing-Near-Memory Units. ACM Trans. Design Autom. Electr. Syst. 27(5): 42:1-42:25 (2022) - [c5]Shinhaeng Kang, Byeongho Kim, Sukhan Lee, Kyomin Sohn:
An Architecture of Sparse Length Sum Accelerator in AxDIMM. AICAS 2022: 1-4 - [c4]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 - [c3]Jaewan Choi, Hailong Li, Byeongho Kim, Seunghwan Hwang, Jung Ho Ahn:
Accelerating Transformer Networks through Recomposing Softmax Layers. IISWC 2022: 92-103 - 2021
- [j2]Byeongho Kim
TRiM: Tensor Reduction in Memory. IEEE Comput. Archit. Lett. 20(1): 5-8 (2021) - [c2]Jaehyun Park
TRiM: Enhancing Processor-Memory Interfaces with Scalable Tensor Reduction in Memory. MICRO 2021: 268-281 - 2020
- [j1]Byeongho Kim
MViD: Sparse Matrix-Vector Multiplication in Mobile DRAM for Accelerating Recurrent Neural Networks. IEEE Trans. Computers 69(7): 955-967 (2020)
2010 – 2019
- 2019
- [c1]Wonkyung Jung, Daejin Jung, Byeongho Kim, Sunjung Lee, Wonjong Rhee, Jung Ho Ahn:
Restructuring Batch Normalization to Accelerate CNN Training. SysML 2019 - 2018
- [i1]Daejin Jung, Wonkyung Jung, Byeongho Kim, Sunjung Lee, Wonjong Rhee, Jung Ho Ahn:
Restructuring Batch Normalization to Accelerate CNN Training. CoRR abs/1807.01702 (2018)
Coauthor Index
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