Analysis and Implementation of Space Avionics Co-Processor for Deep Learning Acceleration

Author:

Gonzalez-Arjona David1,Fortun Daniel2,Martín Javier Ferre1,Presti Dario Lo2,Jiménez-Peralo Álvaro1,Gogu Dragos Georgel3

Affiliation:

1. GMV Aerospace and Defence SAU,Madrid,Spain

2. GMV Gmbh,Munich,Germany

3. GMV Innovating Solutoins S.R.L.,Bucharest,Romania

Publisher

IEEE

Reference11 articles.

1. FADEC: FPGA-based Acceleration of Video Depth Estimation by HW/SW Co-design

2. Fast convolutional neural networks on FPGAs with hls4ml

3. SODA-OPT an MLIR based flow for co-design and high-level synthesis

4. High-Performance Space-Based Surveillance System Low-Volumen Smart Sensor Equipment and Porcessing Algorithms;González-Arjona

5. Survey of High-Performance Processors and FPGAs for On-Board Processing and Machine Learning Applications;Steenari,2021

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