High Level Synthesis for Machine Learning

Projektinformationen

hls4ml

ID Finanzhilfevereinbarung: 966696

DOI

10.3030/966696

Projekt abgeschlossen

EK-Unterschriftsdatum 17 März 2021

Startdatum 1 April 2021

Enddatum 30 September 2022

Finanziert unter

• EXCELLENT SCIENCE - European Research Council (ERC)

Gesamtkosten

Keine Daten

EU-Beitrag

€ 150 000,00

Koordiniert durch

ORGANISATION EUROPEENNE POUR LA RECHERCHE NUCLEAIRE
Switzerland

Periodic Reporting for period 1 - hls4ml (High Level Synthesis for Machine Learning)

Berichtszeitraum: 2021-04-01 bis 2022-09-30

Zusammenfassung vom Kontext und den Gesamtzielen des Projekts

The hls4ml project consisted in the development of an open-software library to process pre-trained neural networks and convert them to an electronic circuit. One could then print these circuits on custom AI chips or execute them on Field-programmable gate arrays, universal circuit-emulator chips. The hls4ml library could be used to develop edge-computing AI devices, such as wearable monitoring devices for medical applications, real-time data processing on custom hardware, etc. The library was designed having in mind the real-time process of high-energy proton-proton collisions at the CERN Large Hadron Collider. Its design makes it suitable for fast-inference applications, e.g. high-rate trading.