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Inhalt des Dokuments

Ahmed Elhossini, PhD


Forschung

  • LPGPU: Low-Power GPU [1]
  • CompVision [2]
  • Nexus++ [3]
  • VMS [4] [5]
  • SynZEN [6]

Lehre

Lehrveranstaltungen
Computer Arithmetic: Circuit Perspective [7]
WS 15/16
Applied Embedded Systems Project (AEP) [8]
SS 2015
Computer Arithmetic: Circuit Perspective [9]
WS 14/15
Applied Embedded Systems Project (AEP) [10]
SS 2014
Computer Arithmetic: Circuit Perspective [11]
WS 13/14
Advanced Computer Architectures [12]
WS 13/14
Computer Arithmetic: Circuit Perspective [13]
SS 2013
Applied Embedded Systems Project (AEP) [14]
WS 12/13

Publikationen

Nexus#: A Distributed Hardware Task Manager for Task-Based Programming Models
Zitatschlüssel Dallou:2015:Nexus_IPDPS
Autor Tamer Dallou and Nina Engelhardt and Ahmed Elhossini and Ben Juurlink
Buchtitel Proc. The 29th IEEE International Parallel & Distributed Processing Symposium
Jahr 2015
Download Bibtex Eintrag [15]

Biografie

Lupe [17]

Ahmed Elhossini received the MSc Degree in Computer Engineering, in 2005 from Al-Azhar University, Cairo, Egypt. Then he moved to Canada for the PhD degree which he completed in 2009 in Computer Engineering from the University of Guelph, Guelph, Ontario, Canada. From 2009 until 2010 he worked as post-doctoral researcher at The Robotics Institute, school of Engineering, University of Guelph, in which he conducted research regarding porting vision algorithms into reconfigurable architectures. In 2011 he moved to Egypt as an assistant Professor at the Faculty of Engineering, Al Azhar University, Cairo, Egypt, where he was teaching and conducting research related to computer architecture and reconfigurable architectures. He also worked as a consultant for the Egyptian Space Agency from 2011 to 2012. Ahmed Elhossini is currently a Postdoctoral researcher at the Embedded Systems Architecture group at TU-Berlin. His research focus is embedded systems, optimization of embedded systems and porting computer vision algorithms into embedded hardware. He has co-authored several publications in the area of reconfigurable computing, embedded computer vision, and optimization techniques.

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