activity
20142026
most citedFINN: A Framework for Fast, Scalable Binarized Neural Network Inference

1k citations · 1.4k across the 25 of their papers we have counts for

collaborators

27 papers

cs.AR2026

Arithmetic Packing on Wide Integer Datapaths in DSP Primitives of Modern FPGA Devices

Titus Bornträger, Shane Fleming, Philipp Holzinger +3

Deep Neural Networks increasingly employ low-precision quantization to reduce computational requirements. While FPGAs are well suited for workloads with heterogeneous precisions, t…

eess.SP2022★ 23 cited

Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrays

Pedro J. Freire, Sasipim Srivallapanondh, Michael Anderson +9

In this work, we demonstrate the offline FPGA realization of both recurrent and feedforward neural network (NN)-based equalizers for nonlinearity compensation in coherent optical t…

cs.AR2022★ 22 cited

LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics

Zhiqiang Que, Hongxiang Fan, Marcus Loo +5

This work presents a novel reconfigurable architecture for Low Latency Graph Neural Network (LL-GNN) designs for particle detectors, delivering unprecedented low latency performanc…

eess.SP2022★ 5 cited

Towards FPGA Implementation of Neural Network-Based Nonlinearity Mitigation Equalizers in Coherent Optical Transmission Systems

Pedro J. Freire, Michael Anderson, Bernhard Spinnler +8

For the first time, recurrent and feedforward neural network-based equalizers for nonlinearity compensation are implemented in an FPGA, with a level of complexity comparable to tha…

cs.LG2022★ 9 cited

QONNX: Representing Arbitrary-Precision Quantized Neural Networks

Alessandro Pappalardo, Yaman Umuroglu, Michaela Blott +11

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

cs.LG2022★ 5 cited

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

Hendrik Borras, Giuseppe Di Guglielmo, Javier Duarte +15

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 an…