Power Balancing in an Emulated Exascale Environment
| Autor: | Barry Rountree, Dieter Kranzlmüller, Matthias Maiterth, Martin Schulz |
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| Předmět: |
020203 distributed computing
Emulation Computer science Event (computing) business.industry Distributed computing Node (networking) 010103 numerical & computational mathematics 02 engineering and technology 01 natural sciences Power (physics) Resource (project management) Embedded system Gremlin (programming language) 0202 electrical engineering electronic engineering information engineering Systems design 0101 mathematics business System software |
| Zdroj: | DOE / OSTI IPDPS Workshops |
| Popis: | Optimal utilization of power is a major concern for HPC, and is one of the focus points on the path towards exascale and approaches range from chip level to facility wide solutions. In order to evaluate the implications of these approaches and their impact on future system design, we need to understand their interaction with applications as well as their performance impact. In this work we describe the GREMLIN framework, a general framework to emulate system changes on existing platforms by resource restriction or event injection. We use this framework to understand the behavior of applications executed on power limited systems and to evaluate a solution for one of the problems resulting from operating under a power limit: the translation of manufacturing variability into heterogeneous performance, as observed in power limited HPC environments. We show that in a power limited environment manufacturing variability is a key source of performance imbalances and thus non-optimal execution. We propose a Power Balancer for redistribution of unused power and show performance gains of up to 1.5% at small to medium node counts. |
| Databáze: | OpenAIRE |
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