BibTeX records: Mikhail Shiryaev

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@inproceedings{DBLP:conf/sc/KalamkarGSCSH20,
  author       = {Dhiraj D. Kalamkar and
                  Evangelos Georganas and
                  Sudarshan Srinivasan and
                  Jianping Chen and
                  Mikhail Shiryaev and
                  Alexander Heinecke},
  title        = {Optimizing deep learning recommender systems training on {CPU} cluster
                  architectures},
  booktitle    = {{SC}},
  pages        = {43},
  publisher    = {{IEEE/ACM}},
  year         = {2020}
}

@article{DBLP:journals/corr/abs-2005-04680,
  author       = {Dhiraj D. Kalamkar and
                  Evangelos Georganas and
                  Sudarshan Srinivasan and
                  Jianping Chen and
                  Mikhail Shiryaev and
                  Alexander Heinecke},
  title        = {Optimizing Deep Learning Recommender Systems' Training On {CPU} Cluster
                  Architectures},
  journal      = {CoRR},
  volume       = {abs/2005.04680},
  year         = {2020}
}

@inproceedings{DBLP:conf/ics/AmerABCC0GGHIRS19,
  author       = {Abdelhalim Amer and
                  Charles Archer and
                  Michael Blocksome and
                  Chongxiao Cao and
                  Michael Chuvelev and
                  Hajime Fujita and
                  Maria Garzaran and
                  Yanfei Guo and
                  Jeff R. Hammond and
                  Shintaro Iwasaki and
                  Kenneth J. Raffenetti and
                  Mikhail Shiryaev and
                  Min Si and
                  Kenjiro Taura and
                  Sagar Thapaliya and
                  Pavan Balaji},
  title        = {Software combining to mitigate multithreaded {MPI} contention},
  booktitle    = {{ICS}},
  pages        = {367--379},
  publisher    = {{ACM}},
  year         = {2019}
}

@article{DBLP:journals/corr/abs-1801-08030,
  author       = {Srinivas Sridharan and
                  Karthikeyan Vaidyanathan and
                  Dhiraj D. Kalamkar and
                  Dipankar Das and
                  Mikhail E. Smorkalov and
                  Mikhail Shiryaev and
                  Dheevatsa Mudigere and
                  Naveen Mellempudi and
                  Sasikanth Avancha and
                  Bharat Kaul and
                  Pradeep Dubey},
  title        = {On Scale-out Deep Learning Training for Cloud and {HPC}},
  journal      = {CoRR},
  volume       = {abs/1801.08030},
  year         = {2018}
}

@inproceedings{DBLP:conf/sc/KurthZSRMPMSBSD17,
  author       = {Thorsten Kurth and
                  Jian Zhang and
                  Nadathur Satish and
                  Evan Racah and
                  Ioannis Mitliagkas and
                  Md. Mostofa Ali Patwary and
                  Tareq M. Malas and
                  Narayanan Sundaram and
                  Wahid Bhimji and
                  Mikhail Smorkalov and
                  Jack Deslippe and
                  Mikhail Shiryaev and
                  Srinivas Sridharan and
                  Prabhat and
                  Pradeep Dubey},
  title        = {Deep learning at 15PF: supervised and semi-supervised classification
                  for scientific data},
  booktitle    = {{SC}},
  pages        = {7},
  publisher    = {{ACM}},
  year         = {2017}
}

@article{DBLP:journals/corr/abs-1708-05256,
  author       = {Thorsten Kurth and
                  Jian Zhang and
                  Nadathur Satish and
                  Ioannis Mitliagkas and
                  Evan Racah and
                  Md. Mostofa Ali Patwary and
                  Tareq M. Malas and
                  Narayanan Sundaram and
                  Wahid Bhimji and
                  Mikhail Smorkalov and
                  Jack Deslippe and
                  Mikhail Shiryaev and
                  Srinivas Sridharan and
                  Prabhat and
                  Pradeep Dubey},
  title        = {Deep Learning at 15PF: Supervised and Semi-Supervised Classification
                  for Scientific Data},
  journal      = {CoRR},
  volume       = {abs/1708.05256},
  year         = {2017}
}