activity
20202026
most citedDMRlib: Easy-coding and Efficient Resource Management for Job Malleability

41 citations · 113 across the 17 of their papers we have counts for

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Showing 2026Show all

14 papers · 1 filter

cs.HC2026

Human-AI Conversational Behaviors Predict Unassisted Task Performance

Li Siyan, Federico Bianchi, James Zou +1

Assistance from AI tools has supported and improved human performance across domains. However, recent research suggests that these immediate benefits may entail future costs, inclu…

cs.DC2026

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…

cs.DC2026

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.…

cs.DC2026★ 4 cited

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…

cs.DB2026★ 11 cited

Complete Integration of Team Project-based Learning into a Database Syllabus

S. Iserte, V. R. Tomas, M. Pérez +3

Team project-based learning (TPBL) combines two learning techniques: project-based learning (PBL) and teamwork. This combination leverages the learning outcomes of both methods and…

cs.DC2026★ 1 cited

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…

cs.CE2026★ 2 cited

A Study on the Resource Utilization and User Behavior on Titan Supercomputer

Sergio Iserte

Understanding HPC facilities users' behaviors and how computational resources are requested and utilized is not only crucial for the cluster productivity but also essential for des…

cs.CE2026★ 8 cited

Modeling of Wastewater Treatment Processes with HydroSludge

S. Iserte, P. Carratalà, R. Arnau +5

The pressure for Water Resource Recovery Facilities (WRRF) operators to efficiently treat wastewater is greater than ever because of the water crisis, produced by the climate chang…

cs.DC2026★ 6 cited

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…

cs.DC2026★ 3 cited

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…

cs.DC2026★ 1 cited

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…

cs.DC2026★ 41 cited

DMRlib: Easy-coding and Efficient Resource Management for Job Malleability

Sergio Iserte, Rafael Mayo, Enrique S. Quintana-Ortí +1

Process malleability has proved to have a highly positive impact on the resource utilization and global productivity in data centers compared with the conventional static resource…

cs.DC2026

Wave-Based Dispatch for Circuit Cutting in Hybrid HPC--Quantum Systems

Ricard S. García-Raigada, Josep Jorba, Sergio Iserte

Hybrid High-performance Computing (HPC)-quantum workloads based on circuit cutting decompose large quantum circuits into independent fragments, but existing frameworks tightly coup…

quant-ph2026★ 1 cited

Three ways to share a QPU: Scheduling strategies for hybrid Quantum-HPC applications

Marco Cipollini, Simone Rizzo, Sergio Iserte +21

As quantum computing (QC) technologies mature, their integration into established high-performance computing (HPC) infrastructures is becoming a central objective for next-generati…