Evaluation of heterogeneous AIoT Accelerators within VEDLIoT
Paper in proceeding, 2023
Author
R. Griessl
Bielefeld University
F. Porrmann
Bielefeld University
Nils Kucza
Bielefeld University
K. Mika
Bielefeld University
Jens Hagemeyer
Bielefeld University
Martin Kaiser
Bielefeld University
Mario Porrmann
Bielefeld University
M. Tassemeier
Osnabrück University
M. Flottmann
Osnabrück University
Fareed Mohammad Qararyah
Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)
Muhammad Waqar Azhar
Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)
Pedro Petersen Moura Trancoso
Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)
D. Odman
EmbeDL AB
K. Gugala
Antmicro
G. Latosinski
Antmicro
Proceedings -Design, Automation and Test in Europe, DATE
15301591 (ISSN)
Vol. 2023-April9783981926378 (ISBN)
Antwerp, Belgium,
Very Efficient Deep Learning in IOT (VEDLIoT)
European Commission (EC) (EC/H2020/957197), 2020-11-01 -- 2023-10-31.
Subject Categories
Software Engineering
Computer Systems
DOI
10137021