A resource-aware mixed-precision quantization technique plus BRAM-efficient VHDL changes enabled deployment of five previously non-deployable Transformer configurations on Spartan-7 FPGAs with 3% resource estimate accuracy.
Ad- vances in neural information processing systems 33, 18518–18529 (2020)
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Resource-aware Mixed-precision Quantization for Enhancing Deployability of Transformers for Time-series Forecasting on Embedded FPGAs
A resource-aware mixed-precision quantization technique plus BRAM-efficient VHDL changes enabled deployment of five previously non-deployable Transformer configurations on Spartan-7 FPGAs with 3% resource estimate accuracy.