Mihail Popov

Orcid: 0000-0002-3498-8147

According to our database1, Mihail Popov authored at least 12 papers between 2014 and 2023.

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Bibliography

2023
Optimizing performance and energy across problem sizes through a search space exploration and machine learning.
J. Parallel Distributed Comput., 2023

2022
Analysing and Predicting Energy Consumption of Garbage Collectors in OpenJDK.
Proceedings of the 19th International Conference on Managed Programming Languages and Runtimes, 2022

Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2020
Modeling and optimizing NUMA effects and prefetching with machine learning.
Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

2019
Efficient thread/page/parallelism autotuning for NUMA systems.
Proceedings of the ACM International Conference on Supercomputing, 2019

2018
The Long and Winding Road Toward Efficient High-Performance Computing.
Proc. IEEE, 2018

2017
Piecewise holistic autotuning of parallel programs with CERE.
Concurr. Comput. Pract. Exp., 2017

2016
Automatic Decomposition of Parallel Programs for Optimization and Performance Prediction. (Décomposition Automatique des Programmes Parallèles pour l'Optimisation et la Prédiction de Performance).
PhD thesis, 2016

Piecewise Holistic Autotuning of Compiler and Runtime Parameters.
Proceedings of the Euro-Par 2016: Parallel Processing, 2016

2015
CERE: LLVM-Based Codelet Extractor and REplayer for Piecewise Benchmarking and Optimization.
ACM Trans. Archit. Code Optim., 2015

PCERE: Fine-Grained Parallel Benchmark Decomposition for Scalability Prediction.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

2014
Fine-grained Benchmark Subsetting for System Selection.
Proceedings of the 12th Annual IEEE/ACM International Symposium on Code Generation and Optimization, 2014


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