Leveraging Dynamic Resource Management in HPC
Monday, May 13, 2024 3:00 PM to Wednesday, May 15, 2024 4:00 PM · 2 days 1 hr. (Europe/Berlin)
Foyer D-G - 2nd floor
Research Poster
Earth, Climate and Weather ModelingOptimizing for Energy and PerformanceParallel Programming LanguagesResource Management and SchedulingRuntime Systems for HPC
Information
Poster is on display and will be presented at the poster pitch session.
Dynamic Resource Management (DRM) allows for dynamic changes of the resources assigned to a job during its execution. DRM has gained considerable interest over the last years as it could provide many benefits to providers of HPC systems and their users, such as improving energy efficiency and throughput. However, DRM requires changes and interactions throughout the whole HPC software stack. In this research poster, we highlight solutions for dynamic resources on different layers of the HPC software stack, including the OAR resource manager, the Dynamic Processes with PSets (DPP) approach, the Dynamic Management of Resources framework (DMR), and an example application given by an adaptive parallel-in-time integration method within the SWEET software using LibPFASST. We illustrate how these approaches fit together to provide a holistic approach for dynamic resources throughout the HPC software stack as part of our joint effort.
Contributors:
Dynamic Resource Management (DRM) allows for dynamic changes of the resources assigned to a job during its execution. DRM has gained considerable interest over the last years as it could provide many benefits to providers of HPC systems and their users, such as improving energy efficiency and throughput. However, DRM requires changes and interactions throughout the whole HPC software stack. In this research poster, we highlight solutions for dynamic resources on different layers of the HPC software stack, including the OAR resource manager, the Dynamic Processes with PSets (DPP) approach, the Dynamic Management of Resources framework (DMR), and an example application given by an adaptive parallel-in-time integration method within the SWEET software using LibPFASST. We illustrate how these approaches fit together to provide a holistic approach for dynamic resources throughout the HPC software stack as part of our joint effort.
Contributors:
Format
On-site
