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Hyungyo Kim
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2020 – today
- 2024
- [j4]Hyungyo Kim, Gaohan Ye, Nachuan Wang, Amir Yazdanbakhsh, Nam Sung Kim:
Exploiting Intel Advanced Matrix Extensions (AMX) for Large Language Model Inference. IEEE Comput. Archit. Lett. 23(1): 117-120 (2024) - [j3]Hyungyo Kim, Naresh R. Shanbhag:
Enhancing the Accuracy of 6T SRAM-Based In-Memory Architecture via Maximum Likelihood Detection. IEEE Trans. Signal Process. 72: 2799-2811 (2024) - [c2]Sangsoo Park, KyungSoo Kim, Jinin So, Jin Jung, Jonggeon Lee, Kyoungwan Woo, Nayeon Kim, Younghyun Lee, Hyungyo Kim, Yongsuk Kwon, Jinhyun Kim, Jieun Lee, YeonGon Cho, Yongmin Tai, Jeonghyeon Cho, Hoyoung Song, Jung Ho Ahn, Nam Sung Kim:
An LPDDR-based CXL-PNM Platform for TCO-efficient Inference of Transformer-based Large Language Models. HPCA 2024: 970-982 - 2023
- [c1]Hyungyo Kim, Naresh R. Shanbhag:
Boosting the Accuracy of SRAM-Based in-Memory Architectures Via Maximum Likelihood-Based Error Compensation Method. ICASSP 2023: 1-5 - 2021
- [j2]Hyungyo Kim, Joon Hwang, Dongseok Kwon, Jangsaeng Kim, Min-Kyu Park, Jiseong Im, Byung-Gook Park, Jong-Ho Lee:
Direct Gradient Calculation: Simple and Variation-Tolerant On-Chip Training Method for Neural Networks. Adv. Intell. Syst. 3(8): 2100064 (2021) - [j1]Hyungyo Kim, Joon Hwang, Dongseok Kwon, Jangsaeng Kim, Min Kyu Park, Jiseong Im, Byung-Gook Park, Jong-Ho Lee:
Direct Gradient Calculation: Simple and Variation-Tolerant On-Chip Training Method for Neural Networks. Adv. Intell. Syst. 3(8): 2170059 (2021)
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last updated on 2024-07-20 20:33 CEST by the dblp team
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