Walking Noise: Understanding Implications of Noisy Computations on Classification Tasks

no code implementations • 20 Dec 2022 • Hendrik Borras, Bernhard Klein, Holger Fröning

We then investigate the implications of additive and multiplicative noise for different classification tasks and model architectures, with and without batch normalization.

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

1 code implementation • 23 Jun 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

We present our development experience and recent results for the MLPerf Tiny Inference Benchmark on field-programmable gate array (FPGA) platforms.

Anomaly Detection Image Classification +2

QONNX: Representing Arbitrary-Precision Quantized Neural Networks

1 code implementation • 15 Jun 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

We present extensions to the Open Neural Network Exchange (ONNX) intermediate representation format to represent arbitrary-precision quantized neural networks.

Quantization