Fine-grained Benchmark Subsetting for System Selection. - Pablo de Oliveira Castro; Yuriy Kashnikov; Chadi Akel; Mihail Popov; William Jalby (CGO, 2014)

PCERE: Fine-Grained Parallel Benchmark Decomposition for Scalability Prediction. - Mihail Popov; Chadi Akel; Florent Conti; William Jalby; Pablo de Oliveira Castro (IPDPS, 2015)

CERE: LLVM-Based Codelet Extractor and REplayer for Piecewise Benchmarking and Optimization. - Pablo de Oliveira Castro; Chadi Akel; Eric Petit 002; Mihail Popov; William Jalby (ACM Trans. Archit. Code Optim., 2015)

Piecewise Holistic Autotuning of Compiler and Runtime Parameters. - Mihail Popov; Chadi Akel; William Jalby; Pablo de Oliveira Castro (Euro-Par, 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 (2016)

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)

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)

Efficient thread/page/parallelism autotuning for NUMA systems. - Mihail Popov; Alexandra Jimborean; David Black-Schaffer (ICS, 2019)

Modeling and optimizing NUMA effects and prefetching with machine learning. - Isaac Sánchez Barrera; David Black-Schaffer; Marc Casas; Miquel Moretó; Anastasiia Stupnikova; Mihail Popov (ICS, 2020)

Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization. - Ali TehraniJamsaz; Mihail Popov; Akash Dutta; Emmanuelle Saillard; Ali Jannesari (IPDPS, 2022)

Analysing and Predicting Energy Consumption of Garbage Collectors in OpenJDK. - Marina Shimchenko; Mihail Popov; Tobias Wrigstad (MPLR, 2022)

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)

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 (IPDPS, 2024)

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 (IPDPS, 2025)

Compiler, Runtime, and Hardware Parameters Design Space Exploration. - Lana Scravaglieri; Ani Anciaux-Sedrakian; Olivier Aumage; Thomas Guignon; Mihail Popov (IPDPS, 2025)