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    Workload Balancing on Heterogeneous Systems: A Case Study of Sparse Grid Interpolation

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    Type
    Book Chapter
    Authors
    Muraraşu, Alin
    Weidendorfer, Josef
    Bode, Arndt
    KAUST Grant Number
    UK-C0020
    Date
    2012
    Permanent link to this record
    http://hdl.handle.net/10754/600197
    
    Metadata
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    Abstract
    Multi-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.
    Citation
    Muraraşu 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.
    Sponsors
    This publication is based on work supported by AwardNo. UK-C0020, made by King Abdullah University of Science and Technology(KAUST).
    Publisher
    Springer Nature
    Journal
    Euro-Par 2011: Parallel Processing Workshops
    DOI
    10.1007/978-3-642-29740-3_39
    ae974a485f413a2113503eed53cd6c53
    10.1007/978-3-642-29740-3_39
    Scopus Count
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    Publications Acknowledging KAUST Support

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