The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Mikhail Smelyanskiy sits on this spectrum.
This scientist: 90 publications — 6th percentile
6% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Mikhail Smelyanskiy sits on this spectrum.
This scientist: 34 D-Index — 16th percentile
16% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Mikhail Smelyanskiy is affiliated with Nvidia in the United States, focusing on research within the field of Computer Science. Their work spans multiple subfields including Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Computer Vision and Pattern Recognition, and Information Systems. The breadth of research topics covered reflects an interdisciplinary approach to advancements in computing technologies.
Their scholarly output includes a series of recent papers that address various aspects of deep learning systems, inference architectures, and scalable training methods. Notable publications include:
The topics investigated in these papers highlight main research themes such as advanced data storage technologies, parallel computing and optimization techniques, advanced neural network applications, recommender systems and techniques, caching and content delivery, stochastic gradient optimization techniques, and machine learning and data classification. These themes indicate a focus on the infrastructural and algorithmic challenges in deploying and optimizing machine learning at scale.
Smelyanskiy frequently collaborates with several co-authors, contributing to a diverse research network. Regular collaborators include Maxim Naumov, Changkyu Kim, Hector Yuen, Dheevatsa Mudigere, and Jongsoo Park.
Research dissemination primarily occurs through venues such as arXiv (Cornell University), which accounts for multiple publications, the 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS), and IEEE Micro. These publication venues suggest a balance between preprint dissemination and peer-reviewed conferences and journals focused on computing systems.
Nitish Shirish Keskar;Dheevatsa Mudigere;Jorge Nocedal;Mikhail Smelyanskiy
Victor W. Lee;Changkyu Kim;Jatin Chhugani;Michael Deisher
Kim Hazelwood;Sarah Bird;David Brooks;Soumith Chintala
Nitish Shirish Keskar;Dheevatsa Mudigere;Jorge Nocedal;Mikhail Smelyanskiy
Xing Liu;Mikhail Smelyanskiy;Edmond Chow;Pradeep Dubey
Unknown
Udit Gupta;Carole-Jean Wu;Xiaodong Wang;Maxim Naumov
Alexander Heinecke;Karthikeyan Vaidyanathan;Mikhail Smelyanskiy;Alexander Kobotov
S. J. Pennycook;C. J. Hughes;M. Smelyanskiy;S. A. Jarvis
Liu Ke;Udit Gupta;Benjamin Youngjae Cho;David Brooks
Alexander Heinecke;Alexander Breuer;Sebastian Rettenberger;Michael Bader
Mikhail Smelyanskiy;Nicolas P. D. Sawaya;Alán Aspuru-Guzik
Tyler M. Smith;Robert van de Geijn;Mikhail Smelyanskiy;Jeff R. Hammond
Yen-Kuang Chen;J. Chhugani;P. Dubey;C.J. Hughes
Gian Giacomo Guerreschi;Mikhail Smelyanskiy
Jongsoo Park;Maxim Naumov;Protonu Basu;Summer Deng
Nadathur Satish;Changkyu Kim;Jatin Chhugani;Hideki Saito
Field G. Van Zee;Tyler M. Smith;Bryan Marker;Tze Meng Low
M. Smelyanskiy;D. Holmes;J. Chhugani;A. Larson
Dheevatsa Mudigere;Yuchen Hao;Jianyu Huang;Zhihao Jia
Mikhail Smelyanskiy;Sanjeev Kumar;Daehyun Kim;Jatin Chhugani
Jongsoo Park;Mikhail Smelyanskiy;Narayanan Sundaram;Pradeep Dubey
Samuel Williams;Dhiraj D. Kalamkar;Amik Singh;Anand M. Deshpande
Maxim Naumov;John Kim;Dheevatsa Mudigere;Srinivas Sridharan
Udit Gupta;Carole-Jean Wu;Xiaodong Wang;Maxim Naumov
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