21 citations · 111 across the 41 of their papers we have counts for
6 papers · 1 filter
SIREN: Software Identification and Recognition in HPC Systems
Thomas Jakobsche, Fredrik Robertsén, Jessica R. Jones +2
HPC systems use monitoring and operational data analytics to ensure efficiency, performance, and orderly operations. Application-specific insights are crucial for analyzing the inc…
AEGIS: Runtime-Guided GPU Collocation for Multi-Tenant Deep Learning Training
Ehsan Yousefzadeh-Asl-Miandoab, Florina M. Ciorba, Büşra Karatay Demiray +2
Deep learning training commonly runs on shared multi-tenant GPU servers, where exclusive allocation provides isolation but can leave resources underutilized and increase queueing t…
A Comparative Study of OpenMP Scheduling Algorithm Selection Strategies
Jonas H. Müller Korndörfer, Ali Mohammed, Ahmed Eleliemy +3
Scientific and data science applications are becoming increasingly complex, with growing computational and memory demands. Modern high performance computing (HPC) systems provide h…
Scalable Genomic Context Analysis with GCsnap2 on HPC Clusters
Reto Krummenacher, Osman Seckin Simsek, Michèle Leemann +4
GCsnap2 Cluster is a scalable, high performance tool for genomic context analysis, developed to overcome the limitations of its predecessor, GCsnap1 Desktop. Leveraging distributed…
An Autonomy Loop for Dynamic HPC Job Time Limit Adjustment
Thomas Jakobsche, Osman Seckin Simsek, Jim Brandt +2
High Performance Computing (HPC) systems rely on fixed user-provided estimates of job time limits. These estimates are often inaccurate, resulting in inefficient resource use and t…
From particles to precision. Simulating subsonic turbulence with Smoothed Particle Hydrodynamics
Rubén M. Cabezón, Domingo García-Senz, Oliver Avril +6
The numerical simulation of subsonic turbulence with smoothed particle hydrodynamics (SPH) has traditionally been hampered by zeroth-order (E0) errors, inaccurate gradient evaluati…