From the 1 of 16 linked papers with an AI index.
1 citations · 1 across the 2 of their papers we have counts for
16 papers
Three ways to share a QPU: Scheduling strategies for hybrid Quantum-HPC applications
Marco Cipollini, Simone Rizzo, Sergio Iserte +21
The paper investigates three scheduling approaches—time‑based multiplexing, dynamic resource management, and workflow decomposition—to efficiently allocate quantum processing units…
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…
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…
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…