Resource Elastic Database Acceleration

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Database sizes are growing faster than the processing power in the post-Moore era due to the advent of big data applications, which make hardware acceleration mandatory.
We propose dynamic stream processing using partial reconfiguration to provide a high-performance solution to runtime-known problems.
This work researches the benefits of applying resource elastic techniques when building the execution pipeline.
Original languageEnglish
Title of host publication30th International Conference on Field Programmable Logic and Application (FPL)
Place of PublicationGothenburg, Sweden
Publication statusPublished - 4 Sep 2020


  • FPGA
  • Database Acceleration


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