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DTSTAMP:20260422T000604Z
LOCATION:DEF Concourse
DTSTART;TZID=America/Denver:20231115T100000
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UID:submissions.supercomputing.org_SC23_sess303_rpost151@linklings.com
SUMMARY:EE-HPC – A Framework for Energy Efficient HPC System Operation
DESCRIPTION:Jan Eitzinger and Thomas Gruber (Friedrich-Alexander Universit
 y, Erlangen-Nuremberg; Erlangen National High Performance Computing Center
 )\n\nThe energy consumption of HPC data centers is a decisive factor in th
 e procurement and operation of the systems. EE-HPC achieves a more efficie
 nt energy use of HPC systems by targeted job-specific control and optimiza
 tion of the hardware. The project started end of 2022 and builds on the ex
 isting stable software components ClusterCockpit and LIKWID. It provides a
  simple, robust, secure and scalable monitoring and energy control solutio
 n for hybrid HPC clusters. The job-specific performance and monitoring fra
 mework ClusterCockpit is already used in production at several large HPC c
 omputing centers. The energy manager and node controller is implemented in
  a Python based prototype and will be ported to Golang and integrated in C
 lusterCockpit. The framework will be evaluated with a set of relevant HPC 
 applications from molecular dynamics, engineering, and climate research.\n
 \nTag: Artificial Intelligence/Machine Learning, Architecture and Networks
 , Heterogeneous Computing, I/O and File Systems, Performance Measurement, 
 Modeling, and Tools, Post-Moore Computing, Programming Frameworks and Syst
 em Software, Quantum Computing\n\nRegistration Category: Tech Program Reg 
 Pass, Exhibits Reg Pass\n\n
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