SQL2FPGA: Automated Acceleration of SQL Query Processing on Modern CPU-FPGA Platforms
Alec Lu,
Jahanvi Narendra Agrawal,
Zhenman Fang
Abstract:Today’s big data query engines are constantly under pressure to keep up with the rapidly increasing demand for faster processing of more complex workloads. In the past few years, FPGA-based database acceleration efforts have demonstrated promising performance improvement with good energy efficiency. However, few studies target the programming and design automation support to leverage the FPGA accelerator benefits in query processing. Most of them rely on the SQL query plan generated by CPU query engines and ma… Show more
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