Byeongho Kim

According to our database, Byeongho Kim authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

GraNDe: Efficient Near-Data Processing Architecture for Graph Neural Networks.

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

IEEE Trans. Computers, October, 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

Duplex: A Device for Large Language Models with Mixture of Experts, Grouped Query Attention, and Continuous Batching.

Sungmin Yun, Kwanhee Kyung, Juhwan Cho, Jaewan Choi, Jongmin Kim, Byeongho Kim, Sukhan Lee, Kyomin Sohn, Jung Ho Ahn

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

CLAY: CXL-based Scalable NDP Architecture Accelerating Embedding Layers.

Sungmin Yun, Hwayong Nam, Kwanhee Kyung, Jaehyun Park, Byeongho Kim, Yongsuk Kwon, Eojin Lee, Jung Ho Ahn

Proceedings of the 38th ACM International Conference on Supercomputing, 2024

2023

Samsung PIM/PNM for Transfmer Based AI : Energy Efficiency on PIM/PNM Cluster.

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

Proceedings of the 35th IEEE Hot Chips Symposium, 2023

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

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

Accelerating Transformer Networks through Recomposing Softmax Layers.

Jaewan Choi, Hailong Li, Byeongho Kim, Seunghwan Hwang, Jung Ho Ahn

Proceedings of the IEEE International Symposium on Workload Characterization, 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

An Architecture of Sparse Length Sum Accelerator in AxDIMM.

Shinhaeng Kang, Byeongho Kim, Sukhan Lee, Kyomin Sohn

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

TRiM: Tensor Reduction in Memory.

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

IEEE Comput. Archit. Lett., 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

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