29 citations
- Laboratoire de l'Informatique du ParallélismeFR12 papers
- Université de Versailles Saint-Quentin-en-YvelinesFR10 papers
- Université Paris-SaclayFR9 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Intel (United States)US4 papers
- Laboratoire de Chimie et Physique QuantiquesFR3 papers
- Université Toulouse III - Paul SabatierFR3 papers
- University of TwenteNL3 papers
- Atos (France)FR2 papers
- Centrale MéditerranéeFR2 papers
- Institut des Sciences Moléculaires de MarseilleFR2 papers
- Laboratoire de Recherche en InformatiqueFR2 papers
19 papers
QMCkl: A Kernel Library for Quantum Monte Carlo Applications
Emiel Slootman, Vijay Gopal Chilkuri, Aurelien Delval +16
Quantum Monte Carlo (QMC) methods deliver highly accurate electronic structure calculations but are computationally intensive. The quantum Monte Carlo kernel library (QMCkl) provid…
Mixed Data Clustering Survey and Challenges
Maxence Choufa, Clement Cornet, Guillaume Guerard +2
The advent of the big data paradigm has transformed how industries manage and analyze information, ushering in an era of unprecedented data volume, velocity, and variety. Within th…
PretopoMD: Pretopology-based Mixed Data Hierarchical Clustering
Loup-Noe Levy, Guillaume Guerard, Sonia Djebali +1
This article presents a novel pretopology-based algorithm designed to address the challenges of clustering mixed data without the need for dimensionality reduction. Leveraging Disj…
Hierarchical clustering of complex energy systems using pretopology
Loup-Noe Levy, Jeremie Bosom, Guillaume Guerard +3
This article attempts answering the following problematic: How to model and classify energy consumption profiles over a large distributed territory to optimize the management of bu…
MLKAPS: Machine Learning and Adaptive Sampling for HPC Kernel Auto-tuning
Mathys Jam, Eric Petit, Pablo de Oliveira Castro +3
Many High-Performance Computing (HPC) libraries rely on decision trees to select the best kernel hyperparameters at runtime,depending on the input and environment. However, finding…
Error Analysis of Sum-Product Algorithms under Stochastic Rounding
Pablo de Oliveira Castro, El-Mehdi El Arar, Eric Petit +1
The quality of numerical computations can be measured through their forward error, for which finding good error bounds is challenging in general. For several algorithms and using s…