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

collaborators

18 papers

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…