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CBM: a compact representation and its parallel search for query processing on GPU

Published:09 April 2018Publication History

ABSTRACT

In this paper, we present a novel approach to compact the representation, called Combined Bit Map (CBM), which compresses the RDF data and allows the search for the specific terms using Graphics Processing Units (GPUs). Since GPUs have limited memory size, using the CBM structure enables us to put more RDF data in the GPU memory. Further, since GPUs contain many processing elements, utilizing them concurrently will speed up the RDF query processing. The experimental results show that the proposed representation can reduce the size of original RDF data by 70 percent. Furthermore, the search time on such a representation using the GPU is 60 times faster compared to the conventional search time.

References

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          cover image ACM Conferences
          SAC '18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing
          April 2018
          2327 pages
          ISBN:9781450351911
          DOI:10.1145/3167132

          Copyright © 2018 Owner/Author

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          Publication History

          • Published: 9 April 2018

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