Maximizing predictability of a bottom-up complex multi-scale model through systematic validation and multi-objective multi-level optimization. - Jean-Marie C. Bouteiller; Zhuobo Feng; Alexander Onopa; Mike Huang; Eric Y. Hu; Endre T. Somogyi; Michel Baudry; Serge Bischoff; Theodore W. Berger (NER, 2015)

High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models. - Dheevatsa Mudigere; Yuchen Hao; Jianyu Huang; Andrew Tulloch; Srinivas Sridharan 002; Xing Liu; Mustafa Ozdal; Jade Nie; Jongsoo Park; Liang Luo; Jie Amy Yang; Leon Gao; et al. (CoRR, 2021)

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 002; Xing Liu; Mustafa Ozdal; Jade Nie; Jongsoo Park; Liang Luo; Jie Amy Yang; et al. (ISCA, 2022)