6 papers
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…
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…
Using Malware Detection Techniques for HPC Application Classification
Thomas Jakobsche, Florina M. Ciorba
HPC systems face security and compliance challenges, particularly in preventing waste and misuse of computational resources by unauthorized or malicious software that deviates from…
Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations
Francieli Boito, Jim Brandt, Valeria Cardellini +24
Many High Performance Computing (HPC) facilities have developed and deployed frameworks in support of continuous monitoring and operational data analytics (MODA) to help improve ef…
Challenges and Opportunities of Machine Learning for Monitoring and Operational Data Analytics in Quantitative Codesign of Supercomputers
Thomas Jakobsche, Nicolas Lachiche, Florina M. Ciorba
This work examines the challenges and opportunities of Machine Learning (ML) for Monitoring and Operational Data Analytics (MODA) in the context of Quantitative Codesign of Superco…
An Execution Fingerprint Dictionary for HPC Application Recognition
Thomas Jakobsche, Nicolas Lachiche, Aurélien Cavelan +1
Applications running on HPC systems waste time and energy if they: (a) use resources inefficiently, (b) deviate from allocation purpose (e.g. cryptocurrency mining), or (c) encount…