Reference Implementations for Machine Learning Application Benchmark

Andreas Koch, Gabriel Dax, Michael Petry, Harvey Gomez, Amir Raoofy, Urvij Saroliya, Max Ghiglione, Gianluca Furano, Martin Werner, Carsten Trinitis, Martin Langer

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

This paper presents reference implementations for a multitude of space applications from the Machine Learning Application Benchmark. Reference implementations include the respective model, its on-board hardware implementation, test scripts and final benchmarking results. In publishing these reference implementations, we make a significant contribution to the benchmark and provide more insight into the viability of on-board machine learning applications.

OriginalspracheEnglisch
TitelProceedings of the 2023 European Data Handling and Data Processing Conference for Space, EDHPC 2023
Redakteure/-innenMaris Tali, Max Ghiglione
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9789090379241
DOIs
PublikationsstatusVeröffentlicht - 2023
Veranstaltung2023 European Data Handling and Data Processing Conference for Space, EDHPC 2023 - Juan-Les-Pins, Frankreich
Dauer: 2 Okt. 20236 Okt. 2023

Publikationsreihe

NameProceedings of the 2023 European Data Handling and Data Processing Conference for Space, EDHPC 2023

Konferenz

Konferenz2023 European Data Handling and Data Processing Conference for Space, EDHPC 2023
Land/GebietFrankreich
OrtJuan-Les-Pins
Zeitraum2/10/236/10/23

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