Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark. (arXiv:2206.11791v1 [cs.LG])

We present our development experience and recent results for the MLPerf Tiny
Inference Benchmark on field-programmable gate array (FPGA) platforms. We use
the open-source hls4ml and FINN workflows, which aim to democratize AI-hardware
codesign of optimized neural networks on FPGAs. We present the design and
implementation process for the keyword spotting, anomaly detection, and image
classification benchmark tasks. The resulting hardware implementations are
quantized, configurable, spatial dataflow architectures tailored for speed and
efficiency and introduce new generic optimizations and common …

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