High Level Synthesis for Machine Learning

Informacje na temat projektu

hls4ml

Identyfikator umowy o grant: 966696

DOI

10.3030/966696

Projekt został zamknięty

Data podpisania przez KE 17 Marca 2021

Data rozpoczęcia 1 Kwietnia 2021

Data zakończenia 30 Września 2022

Finansowanie w ramach

• EXCELLENT SCIENCE - European Research Council (ERC)

Koszt całkowity

Brak danych

Wkład UE

€ 150 000,00

Koordynowany przez

ORGANISATION EUROPEENNE POUR LA RECHERCHE NUCLEAIRE
Switzerland

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

Okres sprawozdawczy: 2021-04-01 do 2022-09-30

Podsumowanie kontekstu i ogólnych celów projektu

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.