research
∙
08/09/2023
FPGA Resource-aware Structured Pruning for Real-Time Neural Networks
Neural networks achieve state-of-the-art performance in image classifica...
share
research
∙
05/06/2023
Symbolic Regression on FPGAs for Fast Machine Learning Inference
The high-energy physics community is investigating the feasibility of de...
research
∙
01/18/2023
Tailor: Altering Skip Connections for Resource-Efficient Inference
Deep neural networks use skip connections to improve training convergenc...
research
∙
07/01/2022
Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml
Recurrent neural networks have been shown to be effective architectures ...
research
∙
05/16/2022
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml
In this paper, we investigate how field programmable gate arrays can ser...
research
∙
02/09/2022
Lightweight Jet Reconstruction and Identification as an Object Detection Task
We apply object detection techniques based on deep convolutional blocks ...
research
∙
06/26/2021
Accelerating Recurrent Neural Networks for Gravitational Wave Experiments
This paper presents novel reconfigurable architectures for reducing the ...
research
∙
08/08/2020
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
Graph neural networks have been shown to achieve excellent performance f...
research
∙
03/11/2020
Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML
We present the implementation of binary and ternary neural networks in t...
research
∙
02/05/2020
Fast inference of Boosted Decision Trees in FPGAs for particle physics
We describe the implementation of Boosted Decision Trees in the hls4ml l...
research
∙
09/13/2017
OpenMP GNU and Intel Fortran programs for solving the time-dependent Gross-Pitaevskii equation
We present Open Multi-Processing (OpenMP) version of Fortran 90 programs...
research
∙
10/17/2016
