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ORCIDShinhaeng Kang
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2020 – today
- 2024
[j3]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:
The Breakthrough Memory Solutions for Improved Performance on LLM Inference. IEEE Micro 44(3): 40-48 (2024)- [c7]Jinwoo Choi, Yeonan Ha, Hanna Cha, Seil Lee, Sungchul Lee, Jounghoo Lee, Shinhaeng Kang, Bongjun Kim, Hanwoong Jung, Hanjun Kim, Youngsok Kim:
MPC-Wrapper: Fully Harnessing the Potential of Samsung Aquabolt-XL HBM2-PIM on FPGAs. FCCM 2024: 162-172 - 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
- [j2]Liu Ke, Xuan Zhang, Jinin So, Jong-Geon Lee, Shinhaeng Kang, Sukhan Lee, Songyi Han, YeonGon Cho, Jin Hyun Kim, Yongsuk Kwon, KyungSoo Kim, Jin Jung, IlKwon Yun, Sung Joo Park, Hyunsun Park, Joon-Ho Song, Jeonghyeon Cho, Kyomin Sohn, Nam Sung Kim, Hsien-Hsin S. Lee:
Near-Memory Processing in Action: Accelerating Personalized Recommendation With AxDIMM. IEEE Micro 42(1): 116-127 (2022) - [j1]Jin Hyun Kim, Shinhaeng Kang, Sukhan Lee, Hyeonsu Kim, Yuhwan Ro, Seungwon Lee, David Wang, Jihyun Choi, Jinin So, YeonGon Cho, Joon-Ho Song, Jeonghyeon Cho, Kyomin Sohn, Nam Sung Kim:
Aquabolt-XL HBM2-PIM, LPDDR5-PIM With In-Memory Processing, and AXDIMM With Acceleration Buffer. IEEE Micro 42(3): 20-30 (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 - 2021
- [c3]Jin Hyun Kim, Shinhaeng Kang, Sukhan Lee, Hyeonsu Kim, Woongjae Song, Yuhwan Ro, Seungwon Lee, David Wang, Hyunsung Shin, BengSeng Phuah, Jihyun Choi, Jinin So, YeonGon Cho, Joon-Ho Song, Jangseok Choi, Jeonghyeon Cho, Kyomin Sohn, Young-Soo Sohn, Kwang-Il Park, Nam Sung Kim:
Aquabolt-XL: Samsung HBM2-PIM with in-memory processing for ML accelerators and beyond. HCS 2021: 1-26 - [c2]Sukhan 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 - [c1]Young-Cheon Kwon, Sukhan Lee, Jaehoon Lee, Sang-Hyuk Kwon, Je-Min Ryu, Jong-Pil Son, Seongil O, Hak-soo Yu, Haesuk Lee, Soo Young Kim, Youngmin Cho, Jin Guk Kim, Jongyoon Choi, Hyunsung Shin, Jin Kim, BengSeng Phuah, Hyoungmin Kim, Myeong Jun Song, Ahn Choi, Daeho Kim, Sooyoung Kim, Eun-Bong Kim, David Wang, Shinhaeng Kang, Yuhwan Ro, Seungwoo Seo, Joon-Ho Song, Jaeyoun Youn, Kyomin Sohn, Nam Sung Kim:
25.4 A 20nm 6GB Function-In-Memory DRAM, Based on HBM2 with a 1.2TFLOPS Programmable Computing Unit Using Bank-Level Parallelism, for Machine Learning Applications. ISSCC 2021: 350-352
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