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Publication search results
found 132 matches
- 2024
- Heechan Moon, Shin Han Kang, Jeongsik Eom, Myun Joong Hwang, Youngmin Kim, Jungha Wang, Beomjun Kim, Taehyung Kim, Taekwon Ga, Jongeun Choi, Wonsang You, Jiyou Shin, Jongsoo Han, Kyeongbeen Park, Hyungpil Moon, Seok-Cheol Kee, Hak-Jin Kim, Yong-Hyun Kim, Kibeom Lee, Jaeseung Yu:
Autonomous Robot Racing Competitions: Truly Multivehicle Autonomous Racing Competitions [Competitions]. IEEE Robotics Autom. Mag. 31(1): 123-132 (2024) - 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 - Min-Seok Bang, Taewoo Nam, Seok-Hyun Song, Hyang-Won Kwon, Jongsoo Park, Kun Yoon, Sung-Soo Hwang, Gyeongseok Oh:
Discovering regional digital innovation tasks to revitalize digital platform government. DG.O 2024: 975-976 - Guhyun Kim, Jinkwon 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, Yosub Song, Byeongsu Yang, Hyeongdeok Lee, Seungyeong Park, Wonjun Lee, Seonghun Kim, Yonghoon Park, Yousub Jung, Gi-Ho Park, Euicheol Lim:
SK Hynix AI-Specific Computing Memory Solution: From AiM Device to Heterogeneous AiMX-xPU System for Comprehensive LLM Inference. HCS 2024: 1-26 - Buyun Zhang, Liang Luo, Yuxin Chen, Jade Nie, Xi Liu, Shen Li, Yanli Zhao, Yuchen Hao, Yantao Yao, Ellie Dingqiao Wen, Jongsoo Park, Maxim Naumov, Wenlin Chen:
Wukong: Towards a Scaling Law for Large-Scale Recommendation. ICML 2024 - Jeongyeol Bae, Sangsung Lee, Joonggeun Lee, Ikkyun Jo, Heesoo Kim, Kyunghyun Yoon, Taejong Kim, Jiyoung Lee, Myunghun Lee, Jaeseung Lee, Jongmin Jeong, Sungjun Lee, Taewan Kim, Sungjoo Kim, Gwangsik Cho, Duksoo Kim, Sangyun Lee, Pilsung Jang, Euibong Yang, Jeongmin Song, Gwangchun Park, Se-Eun Choi, Juhee Son, Won Ko, Jonghyun Kim, Seong Ho Park, Sangho Lee, Yoonki Lee, Euiyoung Park, Pillseong Kang, Taeyeon Kim, Hyojin Lee, Byungki Han, Joonhee Lee, Jongsoo Lee, Sangmin Yoo:
4.3 A 43mm2 Fully Integrated Legacy Cellular and 5G FR1 RF Transceiver with 24RX/3TX Supporting Inter-Band 7CA/5CA 4×4 MIMO with 1K-QAM. ISSCC 2024: 80-82 - Jongsoo Lee, Jaehyuk Jang, Wooseok Lee, Bosung Suh, Heeyong Yoo, Beomyu Park, Jeongkyun Woo, Jaeeun Jang, Inhyo Ryu, Honggul Han, Jaeyoung Kim, Byoungjoong Kang, Minchul Kang, Hojung Kang, John Kang, Minseob Lee, Danbi Lee, Hyeonuk Son, Suhyeon Lee, Soyeon Kim, Hongjong Park, Sangsung Lee, Jeongyeol Bae, Huijung Kim, Joonhee Lee, Sangmin Yoo:
4.2 A Tri-Band Dual-Concurrent Wi-Fi 802.11be Transceiver Achieving -46dB TX/RX EVM Floor at 7.1GHz for a 4K-QAM 320MHz Signal. ISSCC 2024: 78-80 - Liang Luo, Buyun Zhang, Michael Tsang, Yinbin Ma, Ching-Hsiang Chu, Yuxin Chen, Shen Li, Yuchen Hao, Yanli Zhao, Guna Lakshminarayanan, Ellie Wen, Jongsoo Park, Dheevatsa Mudigere, Maxim Naumov:
Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large Scale Recommendation. MLSys 2024 - Liang Luo, Buyun Zhang, Michael Tsang, Yinbin Ma, Ching-Hsiang Chu, Yuxin Chen, Shen Li, Yuchen Hao, Yanli Zhao, Guna Lakshminarayanan, Ellie Dingqiao Wen, Jongsoo Park, Dheevatsa Mudigere, Maxim Naumov:
Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation. CoRR abs/2403.00877 (2024) - Buyun Zhang, Liang Luo, Yuxin Chen, Jade Nie, Xi Liu, Daifeng Guo, Yanli Zhao, Shen Li, Yuchen Hao, Yantao Yao, Guna Lakshminarayanan, Ellie Dingqiao Wen, Jongsoo Park, Maxim Naumov, Wenlin Chen:
Wukong: Towards a Scaling Law for Large-Scale Recommendation. CoRR abs/2403.02545 (2024) - Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, Anirudh Goyal, Anthony Hartshorn, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, Arun Rao, Aston Zhang, Aurélien Rodriguez, Austen Gregerson, Ava Spataru, Baptiste Rozière, Bethany Biron, Binh Tang, Bobbie Chern, Charlotte Caucheteux, Chaya Nayak, Chloe Bi, Chris Marra, Chris McConnell, Christian Keller, Christophe Touret, Chunyang Wu, Corinne Wong, Cristian Canton Ferrer, Cyrus Nikolaidis, Damien Allonsius, Daniel Song, Danielle Pintz, Danny Livshits, David Esiobu, Dhruv Choudhary, Dhruv Mahajan, Diego Garcia-Olano, Diego Perino, Dieuwke Hupkes, Egor Lakomkin, Ehab AlBadawy, Elina Lobanova, Emily Dinan, Eric Michael Smith, Filip Radenovic, Frank Zhang, Gabriel Synnaeve, Gabrielle Lee, Georgia Lewis Anderson, Graeme Nail, Grégoire Mialon, Guan Pang, Guillem Cucurell, Hailey Nguyen, Hannah Korevaar, Hu Xu, Hugo Touvron, Iliyan Zarov, Imanol Arrieta Ibarra, Isabel M. Kloumann, Ishan Misra, Ivan Evtimov, Jade Copet, Jaewon Lee, Jan Geffert, Jana Vranes, Jason Park, Jay Mahadeokar, Jeet Shah, Jelmer van der Linde, Jennifer Billock, Jenny Hong, Jenya Lee, Jeremy Fu, Jianfeng Chi, Jianyu Huang, Jiawen Liu, Jie Wang, Jiecao Yu, Joanna Bitton, Joe Spisak, Jongsoo Park, Joseph Rocca, Joshua Johnstun, Joshua Saxe, Junteng Jia, Kalyan Vasuden Alwala, Kartikeya Upasani, Kate Plawiak, Ke Li, Kenneth Heafield, Kevin Stone, et al.:
The Llama 3 Herd of Models. CoRR abs/2407.21783 (2024) - 2023
- Gyeong Deok Jo, Chul Kyun Ahn, Jung Hee Hong, Da Som Kim, Jongsoo Park, Hyungjin Kim, Jong Hyo Kim, Jin Mo Goo, Ju Gang Nam:
75% radiation dose reduction using deep learning reconstruction on low-dose chest CT. BMC Medical Imaging 23(1): 121 (2023) - 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) - Jongsoo Lee, Byeongtae Park, Dong-Kyu Chae:
DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series. CIKM 2023: 1188-1197 - 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 - Bita Darvish Rouhani, Ritchie Zhao, Venmugil Elango, Rasoul Shafipour, Mathew Hall, Maral Mesmakhosroshahi, Ankit More, Levi Melnick, Maximilian Golub, Girish Varatkar, Lai Shao, Gaurav Kolhe, Dimitry Melts, Jasmine Klar, Renee L'Heureux, Matt Perry, Doug Burger, Eric S. Chung, Zhaoxia (Summer) Deng, Sam Naghshineh, Jongsoo Park, Maxim Naumov:
With Shared Microexponents, A Little Shifting Goes a Long Way. ISCA 2023: 83:1-83:13 - Mark Zhao, Dhruv Choudhary, Devashish Tyagi, Ajay Somani, Max Kaplan, Sung-Han Lin, Sarunya Pumma, Jongsoo Park, Aarti Basant, Niket Agarwal, Carole-Jean Wu, Christos Kozyrakis:
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure. MLSys 2023 - Fan Lai, Wei Zhang, Rui Liu, William Tsai, Xiaohan Wei, Yuxi Hu, Sabin Devkota, Jianyu Huang, Jongsoo Park, Xing Liu, Zeliang Chen, Ellie Wen, Paul Rivera, Jie You, Chun-cheng Jason Chen, Mosharaf Chowdhury:
AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models. OSDI 2023: 817-831 - Bita Rouhani, Ritchie Zhao, Venmugil Elango, Rasoul Shafipour, Mathew Hall, Maral Mesmakhosroshahi, Ankit More, Levi Melnick, Maximilian Golub, Girish Varatkar, Lei Shao, Gaurav Kolhe, Dimitry Melts, Jasmine Klar, Renee L'Heureux, Matt Perry, Doug Burger, Eric S. Chung, Zhaoxia Deng, Sam Naghshineh, Jongsoo Park, Maxim Naumov:
Shared Microexponents: A Little Shifting Goes a Long Way. CoRR abs/2302.08007 (2023) - Hiwot Tadese Kassa, Paul Johnson, Jason Akers, Mrinmoy Ghosh, Andrew Tulloch, Dheevatsa Mudigere, Jongsoo Park, Xing Liu, Ronald G. Dreslinski, Ehsan K. Ardestani:
MTrainS: Improving DLRM training efficiency using heterogeneous memories. CoRR abs/2305.01515 (2023) - 2022
- Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen:
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models. IEEE Big Data 2022: 1556-1563 - 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 - Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Zhihao Jia, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Ajit Mathews, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao:
Software-hardware co-design for fast and scalable training of deep learning recommendation models. ISCA 2022: 993-1011 - Seong Ju Lee, Kyu-Young Kim, Sanghoon Oh, Joonhong Park, Gimoon Hong, Dong Yoon 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, Jaewook Lee, Donguc Ko, Younggun Jun, Keewon Cho, Ilwoong Kim, Choungki Song, Chunseok Jeong, Dae-Han Kwon, 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 Applications. ISSCC 2022: 1-3 - Colin Unger, Zhihao Jia, Wei Wu, Sina Lin, Mandeep Baines, Carlos Efrain Quintero Narvaez, Vinay Ramakrishnaiah, Nirmal Prajapati, Patrick S. McCormick, Jamaludin Mohd-Yusof, Xi Luo, Dheevatsa Mudigere, Jongsoo Park, Misha Smelyanskiy, Alex Aiken:
Unity: Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization. OSDI 2022: 267-284 - Buyun Zhang, Liang Luo, Xi Liu, Jay Li, Zeliang Chen, Weilin Zhang, Xiaohan Wei, Yuchen Hao, Michael Tsang, Wenjun Wang, Yang Liu, Huayu Li, Yasmine Badr, Jongsoo Park, Jiyan Yang, Dheevatsa Mudigere, Ellie Wen:
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction. CoRR abs/2203.11014 (2022) - Mark Zhao, Dhruv Choudhary, Devashish Tyagi, Ajay Somani, Max Kaplan, Sung-Han Lin, Sarunya Pumma, Jongsoo Park, Aarti Basant, Niket Agarwal, Carole-Jean Wu, Christos Kozyrakis:
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure. CoRR abs/2211.05239 (2022) - 2021
- Zhaoxia Deng, Jongsoo Park, Ping Tak Peter Tang, Haixin Liu, Jie Yang, Hector Yuen, Jianyu Huang, Daya Shanker Khudia, Xiaohan Wei, Ellie Wen, Dhruv Choudhary, Raghuraman Krishnamoorthi, Carole-Jean Wu, Nadathur Satish, Changkyu Kim, Maxim Naumov, Sam Naghshineh, Mikhail Smelyanskiy:
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale. IEEE Micro 41(5): 93-100 (2021) - Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal:
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. ICMLA 2021: 1421-1428 - Jongsoo Lee, Byoungjoong Kang, Seongwon Joo, Seokwon Lee, Joongho Lee, Seunghoon Kang, Ikkyun Jo, Suseop Ahn, Jaeseung Lee, Jeongyeol Bae, Won Ko, Woniun Jung, Sangho Lee, Sangsung Lee, Euiyoung Park, Sungiun Lee, Jeongkyun Woo, Jaehoon Lee, Yanghoon Lee, Kyungmin Lee, Jongwoo Lee, Thomas Byunghak Cho, Inyup Kang:
6.1 A Low-Power and Low-Cost 14nm FinFET RFIC Supporting Legacy Cellular and 5G FR1. ISSCC 2021: 90-92
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