Abstract
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.
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 language | English |
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Title of host publication | 30th International Conference on Field Programmable Logic and Application (FPL) |
Place of Publication | Gothenburg, Sweden |
Publication status | Published - 4 Sept 2020 |
Keywords
- FPGA
- Database Acceleration