Modeling I/O Performance With Extra-P

In high-performance computing (HPC), large scientific applications are usually executed on huge clusters with a vast number of resources. Twice a year, the Top 500 list presents the top performers in this field. As these systems increasingly become more complex and powerful, so do the applications across various domains (e.g., fluid dynamics, molecular dynamics, and … Read more

Deep Learning and Dynamic Ressources

Applications  In the ADMIRE project, the dynamic allocation of resources to jobs is crucial. This is particularly true for applications that involve training Deep Learning (DL) models on large datasets. DL has unleashed advances in applications from various disciplines, such as physics or medicine,  reaching unprecedented performances compared to traditional Machine Learning. Remote sensing One … Read more