Report

Reformulating the Direct Convolution for High-Performance Deep Learning Inference on ARM Processors

Article in journal
2923
Sergio Barrachina, Adrian Castello, Manuel F. Dolz, Tze Meng Low, H ector Martınez, Enrique S. Quintana-Orti, Upasana Sridharc, Andres Tomas

A kinematically stabilized linear tetrahedral finite element for compressible and nearly incompressible finite elasticity

Article in journal
2023
Guglielmo Scovazzi, Rubén Zorrilla, Riccardo Rossi

A memory-efficient MultiVector Quasi-Newton method for black-box Fluid-Structure Interaction coupling

Article in journal
2023
R. Zorrilla, R. Rossi

End-to-End Workflows for Climate Science: Integrating HPC Simulations, Big Data Processing, and Machine Learning

Publication in Conference Proceedings / Workshop
2023
Donatello Elia, Sonia Scardigno, Jorge Ejarque, Alessandro D’Anca, Gabriele Accarino, Enrico Scoccimarro, Davide Donno, Daniele Peano, Francesco Immorlano, and Giovanni Aloisio

Automatic steering in Large Task-based Workflows

Oral presentation
2023
Jorge Ejarque