Vadim V. Voevodin
Orcid: 0000-0003-1897-1828Affiliations:
- Lomonosov Moscow State University, Research Computing Center, Russia
According to our database1,
Vadim V. Voevodin
authored at least 21 papers
between 2015 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Proceedings of the Parallel Computing Technologies, 2023
2022
Proceedings of the Parallel Processing and Applied Mathematics, 2022
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
2021
Administration, Monitoring and Analysis of Supercomputers in Russia: a Survey of 10 HPC Centers.
Supercomput. Front. Innov., 2021
Distributed Graph Algorithms for Multiple Vector Engines of NEC SX-Aurora TSUBASA Systems.
Supercomput. Front. Innov., 2021
Efficient Implementation of Liquid Crystal Simulation Software on Modern HPC Platforms.
Supercomput. Front. Innov., 2021
2019
Supercomputer Lomonosov-2: Large Scale, Deep Monitoring and Fine Analytics for the User Community.
Supercomput. Front. Innov., 2019
Survey on Software Tools that Implement Deep Learning Algorithms on Intel/x86 and IBM/Power8/Power9 Platforms.
Supercomput. Front. Innov., 2019
Analysis of Relationship Between SIMD-Processing Features Used in NVIDIA GPUs and NEC SX-Aurora TSUBASA Vector Processors.
Proceedings of the Parallel Computing Technologies, 2019
2018
Developing Quasi-Steady Model for Studying Hemostatic Response Using Supercomputer Technologies.
Supercomput. Front. Innov., 2018
Supercomput. Front. Innov., 2018
Developing Efficient Implementations of Bellman-Ford and Forward-Backward Graph Algorithms for NEC SX-ACE.
Supercomput. Front. Innov., 2018
On-the-Fly Calculation of Performance Metrics with Adaptive Time Resolution for HPC Compute Jobs.
Proceedings of the Supercomputing, 2018
What Do We Need to Know About Parallel Algorithms and Their Efficient Implementation?
Proceedings of the Topics in Parallel and Distributed Computing, 2018
2017
JobDigest - Detailed System Monitoring-Based Supercomputer Application Behavior Analysis.
Proceedings of the Supercomputing, 2017
An Approach for Detecting Abnormal Parallel Applications Based on Time Series Analysis Methods.
Proceedings of the Parallel Processing and Applied Mathematics, 2017
Multidimensional Performance and Scalability Analysis for Diverse Applications Based on System Monitoring Data.
Proceedings of the Parallel Processing and Applied Mathematics, 2017
2016
Supercomput. Front. Innov., 2016
A Study of the Dynamic Characteristics of Software Implementation as an Essential Part for a Universal Description of Algorithm Properties.
Proceedings of the 24th Euromicro International Conference on Parallel, 2016
System Monitoring-Based Holistic Resource Utilization Analysis for Every User of a Large HPC Center.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016
2015
An Approach for Ensuring Reliable Functioning of a Supercomputer Based on a Formal Model.
Proceedings of the Parallel Processing and Applied Mathematics, 2015