From the 1 of 16 linked papers with an AI index.
41 citations · 77 across the 13 of their papers we have counts for
11 papers · 1 filter
Seamless Execution of Malleable Applications in Controlled and Production HPC Environments
Petter Sandås, Sergio Iserte, Guillaume Houzeaux +1
Many large-scale scientific applications exhibit time-varying behavior, yet production HPC clusters still rely on rigid, fixed-size allocations, and most dynamic techniques remain…
Malleable Molecular Dynamics Simulations with GROMACS and DMR
Petter SandÃ¥s, Sergio Iserte, Ãñigo Aréjula-AÃsa +2
Static resource allocations in high-performance computing (HPC) lead to inefficiencies for time-varying workloads, causing idle resources, queue delays, and higher node-hour costs.…
Leveraging Teaching on Demand: Approaching HPC to Undergrads
S. Catalán, R. Carratalá-Sáez, S. Iserte
High Performance Computing (HPC) is a highly demanded discipline in companies and institutions. However, as students and also afterwards as professors, we observed a lack of HPC re…
Adaptation of AI-accelerated CFD Simulations to the IPU platform
P. Rosciszewski, A. Krzywaniak, S. Iserte +2
Intelligence Processing Units (IPU) have proven useful for many AI applications. In this paper, we evaluate them within the emerging field of \emph{AI for simulation}, where tradit…
A Study on the Performance of Distributed Training of Data-driven CFD Simulations
Sergio Iserte, Alejandro González-Barberá, Paloma Barreda +1
Data-driven methods for computer simulations are blooming in many scientific areas. The traditional approach to simulating physical behaviors relies on solving partial differential…
Towards the Democratization and Standardization of Dynamic Resources with MPI Spawning
Sergio Iserte, Iker MartÃn-Alvarez, Krzystof Rojek +3
This paper presents an efficient tool for managing dynamic resources in production high-performance computing (HPC) settings, focusing on flexibility, adaptability, and user-friend…