The ICARUS white paper. A scalable energy-efficient, solar-powered HPC center based on low power GPUs

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dc.contributor.authorGeveler, Markus
dc.contributor.authorRibbrock, Dirk
dc.contributor.authorDonner, Daniel
dc.contributor.authorRuelmann, Hannes
dc.contributor.authorHöppke, Christoph
dc.contributor.authorSchneider, David
dc.contributor.authorTomaschewski, Daniel
dc.contributor.authorTurek, Stefan
dc.date.accessioned2017-05-10T14:59:19Z
dc.date.available2017-05-10T14:59:19Z
dc.date.issued2017-04
dc.description.abstractWe present a unique approach for integrating research in High Performance Computing (HPC) as well as photovoltaic (PV) solar farming and battery technologies into a container-based compute center designed for a maximum of energy efficiency, performance and extensibility/scalability. We use NVIDIA Jetson TK1 boards to build a considerably dimensioned cluster of 60 low-power GPUs, attach a 7:5 kWp solar farm and a 8 kWh Lithium-Ion battery power supply and integrate everything into a single-container, standalone housing. We demonstrate the success of our system by evaluating the performance and energy efficiency for common versatile dense and sparse linear algebra kernels as well as a full CFD code. By this work we can show, that with current technology, energy consumption-induced follow-up cost of HPC can be reduced to zero.en
dc.identifier.issn2190-1767
dc.identifier.urihttp://hdl.handle.net/2003/35960
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-17983
dc.language.isoen
dc.relation.ispartofseriesErgebnisberichte des Instituts für Angwandte Mathematik;565de
dc.subjectenergy-efficient HPCen
dc.subjectARM clusteren
dc.subjectGPGPUen
dc.subjectsolar poweren
dc.subjectbattery power supplyen
dc.subject.ddc610
dc.subject.rswkHochleistungsrechnende
dc.subject.rswkEnergieeffizienzde
dc.subject.rswkSolarenergiede
dc.titleThe ICARUS white paper. A scalable energy-efficient, solar-powered HPC center based on low power GPUsen
dc.typeText
dc.type.publicationtypepreprint
dcterms.accessRightsopen access

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Ergebnisberichte des Instituts für Angewandte Mathematik