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Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark
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 de...
Autores principales: | Borras, Hendrik, Di Guglielmo, Giuseppe, Duarte, Javier, Ghielmetti, Nicolò, Hawks, Ben, Hauck, Scott, Hsu, Shih-Chieh, Kastner, Ryan, Liang, Jason, Meza, Andres, Muhizi, Jules, Nguyen, Tai, Roy, Rushil, Tran, Nhan, Umuroglu, Yaman, Weng, Olivia, Yokuda, Aidan, Blott, Michaela |
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Lenguaje: | eng |
Publicado: |
2022
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2826586 |
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