From the 1 of 9 linked papers with an AI index.
3 citations · 6 across the 7 of their papers we have counts for
9 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.…
HE-PIM: Demystifying Homomorphic Operations on a Real-world Processing-in-Memory System
Harshita Gupta, Mayank Kabra, Jaewoo Park +9
Homomorphic encryption (HE) enables computation over encrypted data, offering strong privacy guarantees for untrusted computing environments. Practical adoption remains limited by…
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…
A Test Taxonomy and Continuous Integration Ecosystem for Dynamic Resource Management in HPC
Petter SandÃ¥s, Ãñigo Aréjula-AÃsa, 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…