Deep learning at 15PF: supervised and semi-supervised classification for scientific data. - Thorsten Kurth; Jian Zhang 049; Nadathur Satish; Evan Racah; Ioannis Mitliagkas; Md. Mostofa Ali Patwary; Tareq M. Malas; Narayanan Sundaram; Wahid Bhimji; Mikhail Smorkalov; Jack Deslippe; Mikhail Shiryaev; et al. (SC, 2017)

On Scale-out Deep Learning Training for Cloud and HPC. - Srinivas Sridharan 002; Karthikeyan Vaidyanathan; Dhiraj D. Kalamkar; Dipankar Das 002; Mikhail E. Smorkalov; Mikhail Shiryaev; Dheevatsa Mudigere; Naveen Mellempudi; Sasikanth Avancha; Bharat Kaul; Pradeep Dubey (CoRR, 2018)

Software combining to mitigate multithreaded MPI contention. - Abdelhalim Amer; Charles Archer; Michael Blocksome; Chongxiao Cao; Michael Chuvelev; Hajime Fujita 002; Maria Garzaran 001; Yanfei Guo; Jeff R. Hammond; Shintaro Iwasaki; Kenneth J. Raffenetti; Mikhail Shiryaev; et al. (ICS, 2019)

Optimizing deep learning recommender systems training on CPU cluster architectures. - Dhiraj D. Kalamkar; Evangelos Georganas; Sudarshan Srinivasan; Jianping Chen; Mikhail Shiryaev; Alexander Heinecke (SC, 2020)