35 citations · 66 across the 5 of their papers we have counts for
3 papers · 1 filter
Noise Injection for__Performance Bottleneck Analysis
Aurélien Delval, Pablo de Oliveira Castro, William Jalby +1
Bottleneck evaluation plays a crucial part in performance tuning of HPC applications, as it directly influences the search for optimizations and the selection of the best hardware…
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…
Quantum Monte Carlo for large chemical systems: Implementing efficient strategies for petascale platforms and beyond
Anthony Scemama, Michel Caffarel, Emmanuel Oseret +1
Various strategies to implement efficiently QMC simulations for large chemical systems are presented. These include: i.) the introduction of an efficient algorithm to calculate the…