Optimizing performance and energy across problem sizes through a search space exploration and machine learning von Scravaglieri, Lana, Popov, Mihail, Lima Pilla, Laércio, Guermouche, Amina, Aumage, Olivier, Saillard, Emmanuelle

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Weather Conditions and Success of Deicing Measures on Railway Power Supply Devices von Popova, Natalia, Bodrov, Pavel, Butenko, Alexandr, Ganashek, Alexandr, Popov, Mihail

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The Long and Winding Road Toward Efficient High-Performance Computing von Jalby, William, Kuck, David, Malony, Allen D., Masella, Michel, Mazouz, Abdelhafid, Popov, Mihail

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Conceptual aspects of the activities of the Federal Service of the National Guard of the Russian Federation during a difficult epidemiological situation in the country von Palyuh, Andrey, Popov, Mihail, Splender, Viktor

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CERE: LLVM-Based Codelet Extractor and REplayer for Piecewise Benchmarking and Optimization von Castro, Pablo De Oliveira, Akel, Chadi, Petit, Eric, Popov, Mihail, Jalby, William

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Piecewise holistic autotuning of parallel programs with CERE von Popov, Mihail, Akel, Chadi, Chatelain, Yohan, Jalby, William, de Oliveira Castro, Pablo

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Application of next-generation sequencing (NGS) to reveal targetable genomic alterations (GA) in patients with non-small cell lung cancer (NSCLC) von Barinov, Alexey, Gagarin, Ilya, Demidova, Irina, Savelov, Nikita, Grinevich, Vyacheslav, Stroyakovskiy, Daniil, Popov, Mihail, Makhson, Anatoly

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Piecewise Holistic Autotuning of Compiler and Runtime Parameters von Popov, Mihail, Akel, Chadi, Jalby, William, de Oliveira Castro, Pablo

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Efficient thread/page/parallelism autotuning for NUMA systems von Popov, Mihail, Jimborean, Alexandra, Black-Schaffer, David

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Analysing and Predicting Energy Consumption of Garbage Collectors in OpenJDK von Shimchenko, Marina, Popov, Mihail, Wrigstad, Tobias

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Décomposition automatique des programmes parallèles pour l'optimisation et la prédiction de performance von Popov, Mihail

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Analysing and Predicting Energy Consumption of Garbage Collectors in OpenJDK von Shimchenko, Marina, Popov, Mihail, Wrigstad, Tobias

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MPI Errors Detection using GNN Embedding and Vector Embedding over LLVM IR von Karchi, Jad El, Chen, Hanze, TehraniJamsaz, Ali, Jannesari, Ali, Popov, Mihail, Saillard, Emmanuelle

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Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization von TehraniJamsaz, Ali, Popov, Mihail, Dutta, Akash, Saillard, Emmanuelle, Jannesari, Ali

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Modeling and Optimizing NUMA Effects and Prefetching with Machine Learning von Sánchez Barrera, Isaac, Black-Schaffer, David, Marc, Casas, Moretó, Miquel, Stupnikova, Anastasiia, Popov, Mihail

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Efficient thread/page/parallelism autotuning for NUMA systems von Popov, Mihail, Jimborean, Alexandra, Black-Schaffer, David

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MPI Errors Detection using GNN Embedding and Vector Embedding over LLVM IR von Jad El Karchi, Chen, Hanze, TehraniJamsaz, Ali, Jannesari, Ali, Popov, Mihail, Saillard, Emmanuelle

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Modeling and Optimizing NUMA Effects and Prefetching with Machine Learning von Sánchez Barrera, Isaac, Black-Schaffer, David, Marc, Casas, Moretó, Miquel, Stupnikova, Anastasiia, Popov, Mihail

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Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization von TehraniJamsaz, Ali, Popov, Mihail, Dutta, Akash, Saillard, Emmanuelle, Jannesari, Ali

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Optimizing Performance and Energy Across Problem Sizes Through a Search Space Exploration and Machine Learning - dataset von Scravaglieri, Lana, Popov, Mihail, Laércio Lima Pilla, Guermouche, Amina, Aumage, Olivier, Saillard, Emmanuelle

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