Mihail Popov - RankMe

17 papers A 8C 1Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	A Deep Look into the Temporal I/O Behavior of HPC Applications. IPDPS Francieli Boito, Luan Teylo, Mihail Popov, Théo Jolivel, François Tessier, Jakob Lüttgau, Julien Monniot, Ahmad Tarraf, André Ramos Carneiro, Carla Osthoff
2025	A	`conf`	Compiler, Runtime, and Hardware Parameters Design Space Exploration. IPDPS Lana Scravaglieri, Ani Anciaux-Sedrakian, Olivier Aumage, Thomas Guignon, Mihail Popov
2024	A	`conf`	MPI Errors Detection using GNN Embedding and Vector Embedding over LLVM IR. IPDPS Jad El Karchi, Hanze Chen, Ali TehraniJamsaz, Ali Jannesari, Mihail Popov, Emmanuelle Saillard
2024	J	`jnl`	MPI Errors Detection using GNN Embedding and Vector Embedding over LLVM IR. CoRR Jad El Karchi, Hanze Chen, Ali TehraniJamsaz, Ali Jannesari, Mihail Popov, Emmanuelle Saillard
2023	J	`jnl`	Optimizing performance and energy across problem sizes through a search space exploration and machine learning. J. Parallel Distributed Comput. Lana Scravaglieri, Mihail Popov, Laércio Lima Pilla, Amina Guermouche, Olivier Aumage, Emmanuelle Saillard
2022	C	`conf`	Analysing and Predicting Energy Consumption of Garbage Collectors in OpenJDK. MPLR Marina Shimchenko, Mihail Popov, Tobias Wrigstad
2022	A	`conf`	Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization. IPDPS Ali TehraniJamsaz, Mihail Popov, Akash Dutta, Emmanuelle Saillard, Ali Jannesari
2022	J	`jnl`	Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization. CoRR Ali TehraniJamsaz, Mihail Popov, Akash Dutta, Emmanuelle Saillard, Ali Jannesari
2020	A	`conf`	Modeling and optimizing NUMA effects and prefetching with machine learning. ICS Isaac Sánchez Barrera, David Black-Schaffer, Marc Casas, Miquel Moretó, Anastasiia Stupnikova, Mihail Popov
2019	A	`conf`	Efficient thread/page/parallelism autotuning for NUMA systems. ICS Mihail Popov, Alexandra Jimborean, David Black-Schaffer
2018	J	`jnl`	The Long and Winding Road Toward Efficient High-Performance Computing. Proc. IEEE William Jalby, David J. Kuck, Allen D. Malony, Michel Masella, Abdelhafid Mazouz, Mihail Popov
2017	J	`jnl`	Piecewise holistic autotuning of parallel programs with CERE. Concurr. Comput. Pract. Exp. Mihail Popov, Chadi Akel, Yohan Chatelain, William Jalby, Pablo de Oliveira Castro
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	—	`conf`	Piecewise Holistic Autotuning of Compiler and Runtime Parameters. Euro-Par Mihail Popov, Chadi Akel, William Jalby, Pablo de Oliveira Castro
2015	J	`jnl`	CERE: LLVM-Based Codelet Extractor and REplayer for Piecewise Benchmarking and Optimization. ACM Trans. Archit. Code Optim. Pablo de Oliveira Castro, Chadi Akel, Eric Petit, Mihail Popov, William Jalby
2015	A	`conf`	PCERE: Fine-Grained Parallel Benchmark Decomposition for Scalability Prediction. IPDPS Mihail Popov, Chadi Akel, Florent Conti, William Jalby, Pablo de Oliveira Castro
2014	A	`conf`	Fine-grained Benchmark Subsetting for System Selection. CGO Pablo de Oliveira Castro, Yuriy Kashnikov, Chadi Akel, Mihail Popov, William Jalby