Mihail Popov

According to our database, Mihail Popov authored at least 15 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Compiler, Runtime, and Hardware Parameters Design Space Exploration.

Lana Scravaglieri, Ani Anciaux-Sedrakian, Olivier Aumage, Thomas Guignon, Mihail Popov

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

A Deep Look into the Temporal I/O Behavior of HPC Applications.

Francieli Boito, Luan Teylo, Mihail Popov, Théo Jolivel, François Tessier, Jakob Lüttgau, Julien Monniot, Ahmad Tarraf, André Ramos Carneiro, Carla Osthoff

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

2024

MPI Errors Detection using GNN Embedding and Vector Embedding over LLVM IR.

Jad El Karchi, Hanze Chen, Ali TehraniJamsaz, Ali Jannesari, Mihail Popov, Emmanuelle Saillard

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

Optimizing performance and energy across problem sizes through a search space exploration and machine learning.

Lana Scravaglieri, Mihail Popov, Laércio Lima Pilla, Amina Guermouche, Olivier Aumage, Emmanuelle Saillard

J. Parallel Distributed Comput., 2023

2022

Analysing and Predicting Energy Consumption of Garbage Collectors in OpenJDK.

Marina Shimchenko, Mihail Popov, Tobias Wrigstad

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.

Ali TehraniJamsaz, Mihail Popov, Akash Dutta, Emmanuelle Saillard, Ali Jannesari

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2020

Modeling and optimizing NUMA effects and prefetching with machine learning.

Isaac Sánchez Barrera, David Black-Schaffer, Marc Casas, Miquel Moretó, Anastasiia Stupnikova, Mihail Popov

Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

2019

Efficient thread/page/parallelism autotuning for NUMA systems.

Mihail Popov, Alexandra Jimborean, David Black-Schaffer

Proceedings of the ACM International Conference on Supercomputing, 2019

2018

The Long and Winding Road Toward Efficient High-Performance Computing.

William Jalby, David J. Kuck, Allen D. Malony, Michel Masella, Abdelhafid Mazouz, Mihail Popov

Proc. IEEE, 2018

2017

Piecewise holistic autotuning of parallel programs with CERE.

Mihail Popov, Chadi Akel, Yohan Chatelain, William Jalby, Pablo de Oliveira Castro

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).

Mihail Popov

PhD thesis, 2016

Piecewise Holistic Autotuning of Compiler and Runtime Parameters.

Mihail Popov, Chadi Akel, William Jalby, Pablo de Oliveira Castro

Proceedings of the Euro-Par 2016: Parallel Processing, 2016

2015

CERE: LLVM-Based Codelet Extractor and REplayer for Piecewise Benchmarking and Optimization.

Pablo de Oliveira Castro, Chadi Akel, Eric Petit, Mihail Popov, William Jalby

ACM Trans. Archit. Code Optim., 2015

PCERE: Fine-Grained Parallel Benchmark Decomposition for Scalability Prediction.

Mihail Popov, Chadi Akel, Florent Conti, William Jalby, Pablo de Oliveira Castro

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

2014

Fine-grained Benchmark Subsetting for System Selection.

Pablo de Oliveira Castro, Yuriy Kashnikov, Chadi Akel, Mihail Popov, William Jalby

Proceedings of the 12th Annual IEEE/ACM International Symposium on Code Generation and Optimization, 2014