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dc.contributor.authorMuraraşu, Alin
dc.contributor.authorWeidendorfer, Josef
dc.contributor.authorBode, Arndt
dc.date.accessioned2016-02-28T06:45:00Z
dc.date.available2016-02-28T06:45:00Z
dc.date.issued2012
dc.identifier.citationMuraraşu A, Weidendorfer J, Bode A (2012) Workload Balancing on Heterogeneous Systems: A Case Study of Sparse Grid Interpolation. Lecture Notes in Computer Science: 345–354. Available: http://dx.doi.org/10.1007/978-3-642-29740-3_39.
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.doi10.1007/978-3-642-29740-3_39
dc.identifier.urihttp://hdl.handle.net/10754/600197
dc.description.abstractMulti-core parallelism and accelerators are becoming common features of today’s computer systems, as they allow for computational power without sacrificing energy efficiency. Due to heterogeneity, tuning for each type of compute unit and adequate load balancing is essential. This paper proposes static and dynamic solutions for load balancing in the context of an application for visualizing high-dimensional simulation data. The application relies on the sparse grid technique for data compression. Its performance critical part is the interpolation routine used for decompression. Results show that our load balancing scheme allows for an efficient acceleration of interpolation on heterogeneous systems containing multi-core CPUs and GPUs.
dc.description.sponsorshipThis publication is based on work supported by AwardNo. UK-C0020, made by King Abdullah University of Science and Technology(KAUST).
dc.publisherSpringer Nature
dc.titleWorkload Balancing on Heterogeneous Systems: A Case Study of Sparse Grid Interpolation
dc.typeBook Chapter
dc.identifier.journalEuro-Par 2011: Parallel Processing Workshops
dc.contributor.institutionTechnische Universitat Munchen
kaust.grant.numberUK-C0020


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