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...

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Detalles Bibliográficos
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
Lenguaje:eng
Publicado: 2022
Materias:
cs.AR
Computing and Computers
cs.LG
Acceso en línea:http://cds.cern.ch/record/2826586

Internet

http://cds.cern.ch/record/2826586

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