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==== Powersched ====
==== Powersched ====
Powersched proposes a reliable, efficient, and transparent mechanism to keep a HPC system under a power cap. The tool aims to increase the energy efficiency of available resources by enabling dynamic power capping based on an application-specific, energy-optimized runtime environment. Powersched can dynamically set a power cap for corresponding job nodes based on the application’s behavior at runtime. The power capping here is appied dynamically and will adapt to different application phases. Depending on the job characteristic we aim for an improvement in energy efficiency of order 20% with a moderate performance impact (or gain) of order 5%.  
Powersched (HPE) proposes a reliable, efficient, and transparent mechanism to keep a HPC system under a power cap. The tool aims to increase the energy efficiency of available resources by enabling power capping based on an application-specific, energy-optimized runtime environment. The power capping is governed by the Golden-Section-Search (GSS) optimization of a given metric (a variant of the Energy-Delay-Product) and will adapt to different application phases. Depending on the job characteristic we aim for an improvement in energy efficiency of order 20% with a moderate performance impact (or gain) of order 5%.  


A summary is included below.
A summary is included below.
==== Golden Section Search (GSS) ====
[[File:GSS.png|765px]]
Dynamic power capping (per socket). As a corollary you might observe a relaxation period especially during startup
and in changing application phases.
[[File:GSS_Full.png|765px]]


==== Overview and Architecture ====
==== Overview and Architecture ====
[[Media:HLRS_Workshop_Powersched_GSS.pdf]]
[[Media:HLRS_Workshop_Powersched_GSS.pdf]]

Latest revision as of 09:29, 16 January 2024

Power Management (Powersched)

Powersched

Powersched (HPE) proposes a reliable, efficient, and transparent mechanism to keep a HPC system under a power cap. The tool aims to increase the energy efficiency of available resources by enabling power capping based on an application-specific, energy-optimized runtime environment. The power capping is governed by the Golden-Section-Search (GSS) optimization of a given metric (a variant of the Energy-Delay-Product) and will adapt to different application phases. Depending on the job characteristic we aim for an improvement in energy efficiency of order 20% with a moderate performance impact (or gain) of order 5%.

A summary is included below.

Golden Section Search (GSS)

GSS.png

Dynamic power capping (per socket). As a corollary you might observe a relaxation period especially during startup and in changing application phases.

GSS Full.png

Overview and Architecture

Media:HLRS_Workshop_Powersched_GSS.pdf