46 citations · 163 across the 13 of their papers we have counts for
13 papers
Energy Efficiency trends in HPC: what high-energy and astrophysicists need to know
Estela Suarez, Jorge Amaya, Martin Frank +4
The growing energy demands of HPC systems have made energy efficiency a critical concern for system developers and operators. However, HPC users are generally less aware of how the…
Bypassing the static input size of neural networks in flare forecasting by using spatial pyramid pooling
Philippe Vong, Laurent Dolla, Alexandros Koukras +4
The spatial extension of active regions (ARs) of the Sun can vary from one case to the next. This is a problem when studying solar flares with Convolutional Neural Networks (CNNs)…
DRAM Errors and Cosmic Rays: Space Invaders or Science Fiction?
Isaac Boixaderas, Jorge Amaya, Sergi Moré +7
It is widely accepted that cosmic rays are a plausible cause of DRAM errors in high-performance computing (HPC) systems, and various studies suggest that they could explain some as…
Identification of high order closure terms from fully kinetic simulations using machine learning
Brecht Laperre, Jorge Amaya, Sara Jamal +1
Simulations of large-scale plasma systems are typically based on a fluid approximation approach. These models construct a moment-based system of equations that approximate the part…
Unsupervised classification of simulated magnetospheric regions
Maria Elena Innocenti, Jorge Amaya, Joachim Raeder +3
In magnetospheric missions, burst mode data sampling should be triggered in the presence of processes of scientific or operational interest. We present an unsupervised classificati…
Automatic classification of plasma regions in near-Earth space with supervised machine learning: application to Magnetospheric Multi Scale 2016-2019 observations
Hugo Breuillard, Romain Dupuis, Alessandro Retino +3
The proper classification of plasma regions in near-Earth space is crucial to perform unambiguous statistical studies of fundamental plasma processes such as shocks, magnetic recon…
Dynamic Time Warping as a New Evaluation for Dst Forecast with Machine Learning
Brecht Laperre, Jorge Amaya, Giovanni Lapenta
Models based on neural networks and machine learning are seeing a rise in popularity in space physics. In particular, the forecasting of geomagnetic indices with neural network mod…
Tokamak disruption prediction using different machine learning techniques
Joost Croonen, Jorge Amaya, Giovanni Lapenta
Disruption prediction and mitigation is of key importance in the development of sustainable tokamakreactors. Machine learning has become a key tool in this endeavour. In this paper…
Visualizing and Interpreting Unsupervised Solar Wind Classifications
Jorge Amaya, Romain Dupuis, Maria Elena Innocenti +1
One of the goals of machine learning is to eliminate tedious and arduous repetitive work. The manual and semi-automatic classification of millions of hours of solar wind data from…
Characterizing magnetic reconnection regions using Gaussian mixture models on particle velocity distributions
Romain Dupuis, Martin V. Goldman, David L. Newman +2
We present a method based on unsupervised machine learning to identify regions of interest using particle velocity distributions as a signature pattern. An automatic density estima…
The DEEP-ER project: I/O and resiliency extensions for the Cluster-Booster architecture
Anke Kreuzer, Norbert Eicker, Jorge Amaya +2
The recently completed research project DEEP-ER has developed a variety of hardware and software technologies to improve the I/O capabilities of next generation high-performance co…
Application performance on a Cluster-Booster system
Anke Kreuzer, Jorge Amaya, Norbert Eicker +1
The DEEP projects have developed a variety of hardware and software technologies aiming at improving the efficiency and usability of next generation high-performance computers. The…
The PAC2MAN mission: a new tool to understand and predict solar energetic events
Jorge Amaya, Sophie Musset, Viktor Andersson +12
An accurate forecast of flare and CME initiation requires precise measurements of the magnetic energy build up and release in the active regions of the solar atmosphere. We designe…