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Chanwook Park
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2020 – today
- 2024
- [c4]Minseok Seo, Xuan Truong Nguyen, Seok Joong Hwang, Yongkee Kwon, Guhyun Kim, Chanwook Park, Ilkon Kim, Jaehan Park, Jeongbin Kim, Woojae Shin, Jongsoon Won, Haerang Choi, Kyuyoung Kim, Daehan Kwon, Chunseok Jeong, Sangheon Lee, Yongseok Choi, Wooseok Byun, Seungcheol Baek, Hyuk-Jae Lee, John Kim:
IANUS: Integrated Accelerator based on NPU-PIM Unified Memory System. ASPLOS (3) 2024: 545-560 - [c3]Chanwook Park, Moonsik Nam, Hyeong Il Moon, Youngjae Kim:
A Practical Evaluation of Multi-Agent Pathfinding in Automated Warehouse. UR 2024: 1-6 - [i5]Chanwook Park, Sourav Saha, Jiachen Guo, Xiaoyu Xie, Satyajit Mojumder, Miguel A. Bessa, Dong Qian, Wei Chen, Gregory J. Wagner, Jian Cao, Wing Kam Liu:
Engineering software 2.0 by interpolating neural networks: unifying training, solving, and calibration. CoRR abs/2404.10296 (2024) - [i4]Lei Zhang, Chanwook Park, T. J. R. Hughes, Wing Kam Liu:
Multi-Patch Isogeometric Convolution Hierarchical Deep-learning Neural Network. CoRR abs/2406.03307 (2024) - [i3]Jiachen Guo, Chanwook Park, Xiaoyu Xie, Zhongsheng Sang, Gregory J. Wagner, Wing Kam Liu:
Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems. CoRR abs/2409.00329 (2024) - 2023
- [j3]Tianju Xue, Shuheng Liao, Zhengtao Gan, Chanwook Park, Xiaoyu Xie, Wing Kam Liu, Jian Cao:
JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science. Comput. Phys. Commun. 291: 108802 (2023) - [j2]Dae-Han Kwon, Seongju Lee, Kyuyoung Kim, Sanghoon Oh, Joonhong Park, Gimoon Hong, Dongyoon Ka, Kyu-Dong Hwang, Jeongje Park, Kyeong Pil Kang, Jungyeon Kim, Junyeol Jeon, Nahsung Kim, Yongkee Kwon, Kornijcuk Vladimir, Woojae Shin, Jongsoon Won, Minkyu Lee, Hyunha Joo, Haerang Choi, Guhyun Kim, Byeongju An, Jaewook Lee, Donguc Ko, Younggun Jun, Ilwoong Kim, Choungki Song, Ilkon Kim, Chanwook Park, Seho Kim, Chunseok Jeong, Euicheol Lim, Dongkyun Kim, Jieun Jang, Il Park, Junhyun Chun, Joohwan Cho:
A 1ynm 1.25V 8Gb 16Gb/s/Pin GDDR6-Based Accelerator-in-Memory Supporting 1TFLOPS MAC Operation and Various Activation Functions for Deep Learning Application. IEEE J. Solid State Circuits 58(1): 291-302 (2023) - [c2]Yongkee Kwon, Guhyun Kim, Nahsung Kim, Woojae Shin, Jongsoon Won, Hyunha Joo, Haerang Choi, Byeongju An, Gyeongcheol Shin, Dayeon Yun, Jeongbin Kim, Changhyun Kim, Ilkon Kim, Jaehan Park, Chanwook Park, Yosub Song, Byeongsu Yang, Hyeongdeok Lee, Seungyeong Park, Wonjun Lee, Seongju Lee, Kyuyoung Kim, Daehan Kwon, Chunseok Jeong, John Kim, Euicheol Lim, Junhyun Chun:
Memory-Centric Computing with SK Hynix's Domain-Specific Memory. HCS 2023: 1-26 - 2022
- [j1]Mahsa Tajdari, Farzam Tajdari, Pouyan Shirzadian, Aishwarya Pawar, Mirwais Wardak, Sourav Saha, Chanwook Park, Toon Huysmans, Yu Song, Yongjie Jessica Zhang, John F. Sarwark, Wing Kam Liu:
Next-generation prognosis framework for pediatric spinal deformities using bio-informed deep learning networks. Eng. Comput. 38(5): 4061-4084 (2022) - [c1]Yongkee Kwon, Kornijcuk Vladimir, Nahsung Kim, Woojae Shin, Jongsoon Won, Minkyu Lee, Hyunha Joo, Haerang Choi, Guhyun Kim, Byeongju An, Jeongbin Kim, Jaewook Lee, Ilkon Kim, Jaehan Park, Chanwook Park, Yosub Song, Byeongsu Yang, Hyungdeok Lee, Seho Kim, Daehan Kwon, Seong Ju Lee, Kyuyoung Kim, Sanghoon Oh, Joonhong Park, Gimoon Hong, Dongyoon Ka, Kyudong Hwang, Jeongje Park, Kyeong Pil Kang, Jungyeon Kim, Junyeol Jeon, Myeongjun Lee, Minyoung Shin, Minhwan Shin, Jaekyung Cha, Changson Jung, Kijoon Chang, Chunseok Jeong, Euicheol Lim, Il Park, Junhyun Chun:
System Architecture and Software Stack for GDDR6-AiM. HCS 2022: 1-25 - [i2]Sourav Saha, Chanwook Park, Stefan Knapik, Jiachen Guo, Owen Huang, Wing Kam Liu:
Deep Learning Discrete Calculus (DLDC): A Family of Discrete Numerical Methods by Universal Approximation for STEM Education to Frontier Research. CoRR abs/2211.16610 (2022) - [i1]Tianju Xue, Shuheng Liao, Zhengtao Gan, Chanwook Park, Xiaoyu Xie, Wing Kam Liu, Jian Cao:
JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science. CoRR abs/2212.00964 (2022)
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last updated on 2024-10-07 21:25 CEST by the dblp team
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