Jianyu Huang

According to our database, Jianyu Huang authored at least 29 papers between 2011 and 2024.

Collaborative distances:

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

2024

Context Parallelism for Scalable Million-Token Inference.

Amy Yang, Jingyi Yang, Aya Ibrahim, Xinfeng Xie, Bangsheng Tang, Grigory Sizov, Jeremy Reizenstein, Jongsoo Park, Jianyu Huang

CoRR, 2024

The Llama 3 Herd of Models.

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.

CoRR, 2024

PVF (Parameter Vulnerability Factor): A Quantitative Metric Measuring AI Vulnerability Against Parameter Corruptions.

Xun Jiao, Fan Fred Lin, Harish Dattatraya Dixit, Joel Coburn, Abhinav Pandey, Han Wang, Venkat Ramesh, Jianyu Huang, Wang Xu, Daniel Moore, Sriram Sankar

CoRR, 2024

An Adaptive Path Planning Method for Curved Roads via Three-Dimensional Space-Aware Profiling Maps.

Jianyu Huang, Billy Dawton, Yutaka Arakawa

IEEE Access, 2024

Faster Trajectory Planning for Lane Change Scenarios with Dynamic Environment.

Jianyu Huang, Yutaka Arakawa

Proceedings of the 8th International Conference on Robotics, Control and Automation, 2024

2023

Trajectory Planning in Frenet Frame via Multi-Objective Optimization.

Jianyu Huang, Zuguang He, Yutaka Arakawa, Billy Dawton

IEEE Access, 2023

AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models.

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

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

2022

Software-hardware co-design for fast and scalable training of deep learning recommendation models.

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

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

A denoising method based on CNN through multi-layer separation.

Jianyu Huang, Nanting Cai, Jian Mao, Jialin Zhang, Xiaochun Zhao

Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering, 2022

Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models.

Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale.

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

IEEE Micro, 2021

High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models.

Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, 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, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao

CoRR, 2021

FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference.

Daya Shanker Khudia, Jianyu Huang, Protonu Basu, Summer Deng, Haixin Liu, Jongsoo Park, Mikhail Smelyanskiy

CoRR, 2021

2020

Strassen's Algorithm Reloaded on GPUs.

Jianyu Huang, Chenhan D. Yu, Robert A. van de Geijn

ACM Trans. Math. Softw., 2020

Mixed-Precision Embedding Using a Cache.

Jie Amy Yang, Jianyu Huang, Jongsoo Park, Ping Tak Peter Tang, Andrew Tulloch

CoRR, 2020

Multi UAV Cluster Control Method Based on Virtual Core in Improved Artificial Potential Field.

Enming Wu, Yidong Sun, Jianyu Huang, Chao Zhang, Zhiheng Li

IEEE Access, 2020

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

A Study of BFLOAT16 for Deep Learning Training.

Dhiraj D. Kalamkar, Dheevatsa Mudigere, Naveen Mellempudi, Dipankar Das, Kunal Banerjee, Sasikanth Avancha, Dharma Teja Vooturi, Nataraj Jammalamadaka, Jianyu Huang, Hector Yuen, Jiyan Yang, Jongsoo Park, Alexander Heinecke, Evangelos Georganas, Sudarshan Srinivasan, Abhisek Kundu, Misha Smelyanskiy, Bharat Kaul, Pradeep Dubey

CoRR, 2019

2018

Strassen's Algorithm for Tensor Contraction.

Jianyu Huang, Devin A. Matthews, Robert A. van de Geijn

SIAM J. Sci. Comput., 2018

Rapid 3D Reconstruction for Image Sequence Acquired from UAV Camera.

Yufu Qu, Jianyu Huang, Xuan Zhang

Sensors, 2018

Implementing Strassen's Algorithm with CUTLASS on NVIDIA Volta GPUs.

Jianyu Huang, Chenhan D. Yu, Robert A. van de Geijn

CoRR, 2018

Learning from Optimizing Matrix-Matrix Multiplication.

Devangi N. Parikh, Jianyu Huang, Margaret E. Myers, Robert A. van de Geijn

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

2017

Generating Families of Practical Fast Matrix Multiplication Algorithms.

Jianyu Huang, Leslie Rice, Devin A. Matthews, Robert A. van de Geijn

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

2016

Implementing Strassen's Algorithm with BLIS.

Jianyu Huang, Tyler M. Smith, Greg M. Henry, Robert A. van de Geijn

CoRR, 2016

BLISlab: A Sandbox for Optimizing GEMM.

Jianyu Huang, Robert A. van de Geijn

CoRR, 2016

Strassen's algorithm reloaded.

Jianyu Huang, Tyler M. Smith, Greg M. Henry, Robert A. van de Geijn

Proceedings of the International Conference for High Performance Computing, 2016

2015

Performance optimization for the k-nearest neighbors kernel on x86 architectures.

Chenhan D. Yu, Jianyu Huang, Woody Austin, Bo Xiao, George Biros

Proceedings of the International Conference for High Performance Computing, 2015

2013

High Performance Super-Resolution Reconstruction of Multiple Images Based on Fast Registration and Edge Enhancement.

Ming Liu, Jianyu Huang, Ming Gao, Shiyin Qin

Proceedings of the Intelligence Science and Big Data Engineering, 2013

2011

A Space Target Recognition Method Based on Compressive Sensing.

Yuemei Ren, Yanning Zhang, Ying Li, Jianyu Huang, Jianjiang Hui

Proceedings of the Sixth International Conference on Image and Graphics, 2011