Yinghai Lu

20 papers A* 5A 3Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2024 A* conf
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations.
ICML
Jiaqi Zhai, Lucy Liao, Xing Liu, Yueming Wang, Rui Li, Xuan Cao, Leon Gao, Zhaojie Gong, Fangda Gu, Jiayuan He, Yinghai Lu, Yu Shi
2024 J jnl
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations.
CoRR
Jiaqi Zhai, Lucy Liao, Xing Liu, Yueming Wang, Rui Li, Xuan Cao, Leon Gao, Zhaojie Gong, Fangda Gu, Michael He, Yinghai Lu, Yu Shi
2024 — conf
PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation.
ASPLOS (2)
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
2023 J jnl
Llama 2: Open Foundation and Fine-Tuned Chat Models.
CoRR
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
2021 J jnl
First-Generation Inference Accelerator Deployment at Facebook.
CoRR
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.
2019 J jnl
Deep Learning Recommendation Model for Personalization and Recommendation Systems.
CoRR
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
2018 A* conf
Rethinking Concurrency Control for In-Memory OLAP DBMSs.
ICDE
Pedro Pedreira, Yinghai Lu, Sergey Pershin, Amit Dutta, Chris Croswhite
2014 J jnl
Optimal and Efficient Algorithms for Multidomain Clock Skew Scheduling.
IEEE Trans. Very Large Scale Integr. Syst.
Li Li, Yinghai Lu, Hai Zhou
2013 J jnl
Post-routing layer assignment for double patterning with timing critical paths consideration.
Integr.
Jian Sun, Yinghai Lu, Hai Zhou, Changhao Yan, Xuan Zeng
2013 A conf
Retiming for Soft Error Minimization Under Error-Latching Window Constraints.
DATE
Yinghai Lu, Hai Zhou
2012 A conf
An efficient algorithm for library-based cell-type selection in high-performance low-power designs.
ICCAD
Li Li, Peng Kang, Yinghai Lu, Hai Zhou
2012 A conf
Efficient design space exploration for component-based system design.
ICCAD
Yinghai Lu, Hai Zhou
2012 — conf
Optimal prescribed-domain clock skew scheduling.
ASP-DAC
Li Li, Yinghai Lu, Hai Zhou
2011 — conf
Low power discrete voltage assignment under clock skew scheduling.
ASP-DAC
Li Li, Jian Sun, Yinghai Lu, Hai Zhou, Xuan Zeng
2011 A* conf
Optimal multi-domain clock skew scheduling.
DAC
Li Li, Yinghai Lu, Hai Zhou
2011 — conf
Parallel cross-layer optimization of high-level synthesis and physical design.
ASP-DAC
James Williamson, Yinghai Lu, Li Shang, Hai Zhou, Xuan Zeng
2011 — conf
Post-routing layer assignment for double patterning.
ASP-DAC
Jian Sun, Yinghai Lu, Hai Zhou, Xuan Zeng
2010 J jnl
Multicore Parallelization of Min-Cost Flow for CAD Applications.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yinghai Lu, Hai Zhou, Li Shang, Xuan Zeng
2009 A* conf
Multicore parallel min-cost flow algorithm for CAD applications.
DAC
Yinghai Lu, Hai Zhou, Li Shang, Xuan Zeng
2009 A* conf
Statistical reliability analysis under process variation and aging effects.
DAC
Yinghai Lu, Li Shang, Hai Zhou, Hengliang Zhu, Fan Yang, Xuan Zeng