8 citations · 17 across the 9 of their papers we have counts for
6 papers · 1 filter
Dynamic Resource Management in Production HPC Clusters
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 Sandås, Sergio Iserte, Íñigo Aréjula-Aísa +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.…
Towards the Democratization and Standardization of Dynamic Resources with MPI Spawning
Sergio Iserte, Iker Martín-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…
A Test Taxonomy and Continuous Integration Ecosystem for Dynamic Resource Management in HPC
Petter Sandås, Íñigo Aréjula-Aísa, Sergio Iserte +1
High-performance computing (HPC) systems are increasingly exploring dynamic resource management and malleable MPI applications to better adapt to heterogeneous architectures, fluct…
MPI Malleability Validation under Replayed Real-World HPC Conditions
S. Iserte, M. Madon, G. Da +2
Dynamic Resource Management (DRM) techniques can be leveraged to maximize throughput and resource utilization in computational clusters. Although DRM has been extensively studied t…
Resource Optimization with MPI Process Malleability for Dynamic Workloads in HPC Clusters
Sergio Iserte, Iker Martín-Álvarez, Krzysztof Rojek +4
Dynamic resource management is essential for optimizing computational efficiency in modern high-performance computing (HPC) environments, particularly as systems scale. While resea…