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Algorithms for processing large, unstructured data sets have shown great promise in implementations on modern graphics processors (GPUs), with many implementations reporting 20-70x speedup over comparable CPU-only versions of the same algorithms. In this senior project research, our goal is to implement an efficient, highly scalable SQLite database on GPU, test an optimized implementation of a data sorting algorithm like GPU-Quicksort, and demonstrate the speed potential of GPU-enhanced computation on a typical big-data search and aggregation algorithm like MapReduce.


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  • Subject
    • Computer Science & Information Systems

  • Institution
    • Dahlonega

  • Event location
    • Library Third Floor, Open Area

  • Event date
    • 2 April 2014

  • Date submitted

    18 July 2022

  • Additional information
    • Acknowledgements:

      Dr. Bryson Payne