Yinghai Lu

According to our database, Yinghai Lu authored at least 20 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations.

Jiaqi Zhai, Lucy Liao, Xing Liu, Yueming Wang, Rui Li, Xuan Cao, Leon Gao, Zhaojie Gong, Fangda Gu, Michael He, Yinghai Lu, Yu Shi

CoRR, 2024

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations.

Jiaqi Zhai, Lucy Liao, Xing Liu, Yueming Wang, Rui Li, Xuan Cao, Leon Gao, Zhaojie Gong, Fangda Gu, Jiayuan He, Yinghai Lu, Yu Shi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation.

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

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Llama 2: Open Foundation and Fine-Tuned Chat Models.

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

CoRR, 2023

2021

First-Generation Inference Accelerator Deployment at Facebook.

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.

CoRR, 2021

2019

Deep Learning Recommendation Model for Personalization and Recommendation Systems.

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

CoRR, 2019

2018

Rethinking Concurrency Control for In-Memory OLAP DBMSs.

Pedro Pedreira, Yinghai Lu, Sergey Pershin, Amit Dutta, Chris Croswhite

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2014

Optimal and Efficient Algorithms for Multidomain Clock Skew Scheduling.

Li Li, Yinghai Lu, Hai Zhou

IEEE Trans. Very Large Scale Integr. Syst., 2014

2013

Post-routing layer assignment for double patterning with timing critical paths consideration.

Jian Sun, Yinghai Lu, Hai Zhou, Changhao Yan, Xuan Zeng

Integr., 2013

Retiming for Soft Error Minimization Under Error-Latching Window Constraints.

Yinghai Lu, Hai Zhou

Proceedings of the Design, Automation and Test in Europe, 2013

2012

Efficient design space exploration for component-based system design.

Yinghai Lu, Hai Zhou

Proceedings of the 2012 IEEE/ACM International Conference on Computer-Aided Design, 2012

An efficient algorithm for library-based cell-type selection in high-performance low-power designs.

Li Li, Peng Kang, Yinghai Lu, Hai Zhou

Proceedings of the 2012 IEEE/ACM International Conference on Computer-Aided Design, 2012

Optimal prescribed-domain clock skew scheduling.

Li Li, Yinghai Lu, Hai Zhou

Proceedings of the 17th Asia and South Pacific Design Automation Conference, 2012

2011

Optimal multi-domain clock skew scheduling.

Li Li, Yinghai Lu, Hai Zhou

Proceedings of the 48th Design Automation Conference, 2011

Parallel cross-layer optimization of high-level synthesis and physical design.

James Williamson, Yinghai Lu, Li Shang, Hai Zhou, Xuan Zeng

Proceedings of the 16th Asia South Pacific Design Automation Conference, 2011

Post-routing layer assignment for double patterning.

Jian Sun, Yinghai Lu, Hai Zhou, Xuan Zeng

Proceedings of the 16th Asia South Pacific Design Automation Conference, 2011

Low power discrete voltage assignment under clock skew scheduling.

Li Li, Jian Sun, Yinghai Lu, Hai Zhou, Xuan Zeng

Proceedings of the 16th Asia South Pacific Design Automation Conference, 2011

2010

Multicore Parallelization of Min-Cost Flow for CAD Applications.

Yinghai Lu, Hai Zhou, Li Shang, Xuan Zeng

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2010

2009

Multicore parallel min-cost flow algorithm for CAD applications.

Yinghai Lu, Hai Zhou, Li Shang, Xuan Zeng

Proceedings of the 46th Design Automation Conference, 2009

Statistical reliability analysis under process variation and aging effects.

Yinghai Lu, Li Shang, Hai Zhou, Hengliang Zhu, Fan Yang, Xuan Zeng

Proceedings of the 46th Design Automation Conference, 2009