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FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning


Jul 16, 2022
Javier Duarte, Nhan Tran, Ben Hawks, Christian Herwig, Jules Muhizi, Shvetank Prakash, Vijay Janapa Reddi

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* 9 pages, 4 figures, Contribution to 3rd Workshop on Benchmarking Machine Learning Workloads on Emerging Hardware (MLBench) at 5th Conference on Machine Learning and Systems (MLSys) 

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Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark


Jun 23, 2022
Hendrik Borras, Giuseppe Di Guglielmo, Javier Duarte, Nicolò Ghielmetti, Ben Hawks, Scott Hauck, Shih-Chieh Hsu, Ryan Kastner, Jason Liang, Andres Meza, Jules Muhizi, Tai Nguyen, Rushil Roy, Nhan Tran, Yaman Umuroglu, Olivia Weng, Aidan Yokuda, Michaela Blott

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* 15 pages, 7 figures, Contribution to 3rd Workshop on Benchmarking Machine Learning Workloads on Emerging Hardware (MLBench) at 5th Conference on Machine Learning and Systems (MLSys) 

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QONNX: Representing Arbitrary-Precision Quantized Neural Networks


Jun 17, 2022
Alessandro Pappalardo, Yaman Umuroglu, Michaela Blott, Jovan Mitrevski, Ben Hawks, Nhan Tran, Vladimir Loncar, Sioni Summers, Hendrik Borras, Jules Muhizi, Matthew Trahms, Shih-Chieh Hsu, Scott Hauck, Javier Duarte

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* 9 pages, 5 figures, Contribution to 4th Workshop on Accelerated Machine Learning (AccML) at HiPEAC 2022 Conference 

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