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2020 – today
- 2024
[c13]Jason Ansel, Edward Z. Yang, Horace He, Natalia Gimelshein, Animesh Jain, Michael Voznesensky, Bin Bao, Peter Bell
, David Berard, Evgeni Burovski, Geeta Chauhan, Anjali Chourdia, Will Constable, Alban Desmaison, Zachary DeVito, Elias Ellison, Will Feng, Jiong Gong, Michael Gschwind, Brian Hirsh, Sherlock Huang, Kshiteej Kalambarkar, Laurent Kirsch, Michael Lazos, Mario Lezcano, Yanbo Liang, Jason Liang, Yinghai Lu, C. K. Luk, Bert Maher, Yunjie Pan, Christian Puhrsch, Matthias Reso, Mark Saroufim, Marcos Yukio Siraichi, Helen Suk, Shunting Zhang, Michael Suo, Phil Tillet, Xu Zhao, Eikan Wang, Keren Zhou, Richard Zou, Xiaodong Wang, Ajit Mathews, William Wen, Gregory Chanan, Peng Wu, Soumith Chintala:
PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation. ASPLOS (2) 2024: 929-947- [c12]Jiaqi Zhai, Lucy Liao, Xing Liu, Yueming Wang, Rui Li, Xuan Cao, Leon Gao, Zhaojie Gong, Fangda Gu, Jiayuan He, Yinghai Lu, Yu Shi:
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations. ICML 2024 - [i4]Jiaqi Zhai, Lucy Liao, Xing Liu, Yueming Wang, Rui Li, Xuan Cao, Leon Gao, Zhaojie Gong, Fangda Gu, Michael He, Yinghai Lu, Yu Shi:
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations. CoRR abs/2402.17152 (2024) - 2023
- [i3]Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom:
Llama 2: Open Foundation and Fine-Tuned Chat Models. CoRR abs/2307.09288 (2023) - 2021
- [i2]Michael J. Anderson, Benny Chen, Stephen Chen, Summer Deng, Jordan Fix, Michael Gschwind, Aravind Kalaiah, Changkyu Kim, Jaewon Lee, Jason Liang, Haixin Liu, Yinghai Lu, Jack Montgomery, Arun Moorthy, Nadathur Satish, Sam Naghshineh, Avinash Nayak, Jongsoo Park, Chris Petersen, Martin Schatz, Narayanan Sundaram, Bangsheng Tang, Peter Tang, Amy Yang, Jiecao Yu, Hector Yuen, Ying Zhang, Aravind Anbudurai, Vandana Balan, Harsha Bojja, Joe Boyd, Matthew Breitbach, Claudio Caldato, Anna Calvo, Garret Catron, Sneh Chandwani, Panos Christeas, Brad Cottel, Brian Coutinho, Arun Dalli, Abhishek Dhanotia, Oniel Duncan, Roman Dzhabarov, Simon Elmir, Chunli Fu, Wenyin Fu, Michael Fulthorp, Adi Gangidi, Nick Gibson, Sean Gordon, Beatriz Padilla Hernandez, Daniel Ho, Yu-Cheng Huang, Olof Johansson, Shishir Juluri, et al.:
First-Generation Inference Accelerator Deployment at Facebook. CoRR abs/2107.04140 (2021)
2010 – 2019
- 2019
- [i1]Maxim Naumov, Dheevatsa Mudigere, Hao-Jun Michael Shi, Jianyu Huang, Narayanan Sundaraman, Jongsoo Park, Xiaodong Wang, Udit Gupta, Carole-Jean Wu, Alisson G. Azzolini, Dmytro Dzhulgakov, Andrey Mallevich, Ilia Cherniavskii, Yinghai Lu, Raghuraman Krishnamoorthi, Ansha Yu, Volodymyr Kondratenko, Stephanie Pereira, Xianjie Chen, Wenlin Chen, Vijay Rao, Bill Jia, Liang Xiong, Misha Smelyanskiy:
Deep Learning Recommendation Model for Personalization and Recommendation Systems. CoRR abs/1906.00091 (2019) - 2018
- [c11]Pedro Pedreira, Yinghai Lu, Sergey Pershin, Amit Dutta, Chris Croswhite:
Rethinking Concurrency Control for In-Memory OLAP DBMSs. ICDE 2018: 1453-1464 - 2014
- [j3]Li Li, Yinghai Lu, Hai Zhou:
Optimal and Efficient Algorithms for Multidomain Clock Skew Scheduling. IEEE Trans. Very Large Scale Integr. Syst. 22(9): 1888-1897 (2014) - 2013
- [j2]Jian Sun, Yinghai Lu, Hai Zhou, Changhao Yan, Xuan Zeng:
Post-routing layer assignment for double patterning with timing critical paths consideration. Integr. 46(2): 153-164 (2013) - [c10]Yinghai Lu, Hai Zhou:
Retiming for Soft Error Minimization Under Error-Latching Window Constraints. DATE 2013: 1008-1013 - 2012
- [c9]Li Li, Yinghai Lu, Hai Zhou:
Optimal prescribed-domain clock skew scheduling. ASP-DAC 2012: 523-527 - [c8]Li Li, Peng Kang, Yinghai Lu, Hai Zhou:
An efficient algorithm for library-based cell-type selection in high-performance low-power designs. ICCAD 2012: 226-232 - [c7]Yinghai Lu, Hai Zhou:
Efficient design space exploration for component-based system design. ICCAD 2012: 466-472 - 2011
- [c6]James Williamson, Yinghai Lu, Li Shang, Hai Zhou, Xuan Zeng:
Parallel cross-layer optimization of high-level synthesis and physical design. ASP-DAC 2011: 467-472 - [c5]Li Li, Jian Sun, Yinghai Lu, Hai Zhou, Xuan Zeng:
Low power discrete voltage assignment under clock skew scheduling. ASP-DAC 2011: 515-520 - [c4]Jian Sun, Yinghai Lu, Hai Zhou, Xuan Zeng:
Post-routing layer assignment for double patterning. ASP-DAC 2011: 793-798 - [c3]Li Li, Yinghai Lu, Hai Zhou:
Optimal multi-domain clock skew scheduling. DAC 2011: 152-157 - 2010
- [j1]Yinghai Lu, Hai Zhou, Li Shang, Xuan Zeng:
Multicore Parallelization of Min-Cost Flow for CAD Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 29(10): 1546-1557 (2010)
2000 – 2009
Coauthor Index
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