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MLSysOps: Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum

Department of Electrical and Computer Engineering
Sekeri – Cheiden Str Pedion Areos, ECE Building 383 34 Volos – Greece
Tel.	+30 24210 74967, +30 24210 74934
e-mail	gece ΑΤ e-ce.uth.gr
PGS Tel.	+30 24210 74933
PGS e-mail	pgsec ΑΤ e-ce.uth.gr
URL	https://www.e-ce.uth.gr/contact-info/?lang=en

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Automatic Hardware Generation using the Streaming Programming Model (EPL_STR)

Scientific Responsible	Nikolaos Bellas, Professor E-mail: nbellas@e-ce.uth.gr
Researchers	Christos Antonopoulos, Professor E-mail: cda@e-ce.uth.gr
Title	Automatic Hardware Generation using the Streaming Programming Model (EPL_STR)
Project Participants	University of Thessaly
Funding	Marie Curie International Reintegration Grant (IRG), FP7
Site	http://inf-server.inf.uth.gr/~nbellas/

Description

The proposed research targets the development of new methodologies and tools for the automatic generation of hardware accelerators starting from streaming programming models.