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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 power capping based on an application-specific, energy-optimized runtime environment. The power capping is governed by the 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%.  
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%.  


===== Golden Section Search (GSS) =====
A summary is included below.
[[File:GSS.png|800px]]]
 
==== 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.


A summary is included below.
[[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