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TU Berlin

Inhalt des Dokuments

Ahmed Elhossini

Research Interest:

 

  • Computer architecture: Single core/multi-core systems

  • Design and implementation of embedded systems

  • Embedded Computer Vision Systems

  • Deep-learning and Convolutional Neural Networks

  • Reconfigurable architectures

  • Embedded System Design and Embedded Software.

  • Digital Signal processing

  • Low power design of digital systems

  • Multi-objective optimization

  • Modelling and Simulation

  • High speed computation

  • Memory architectures for embedded systems

  • Approximate computation 

 

 

Publications

Jan Lucas and Sohan Lal and Mauricio Alvarez-Mesa and Ahmed Elhossini and Ben Juurlink (2013). DART: A GPU Architecture Exploiting Temporal SIMD for Divergent Workloads. Proc. 9th Int. Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Fiuggi, Italy (ACACES' 13)


Sohan Lal and Jan Lucas and Mauricio Alvarez-Mesa and Ahmed Elhossini and Ben Juurlink (2013). Exploring GPGPUs Workload Characteristics and Power Consumption. Proc. 9th Int. Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Fiuggi, Italy (ACACES' 13)


Tamer Dallou and Ahmed Elhossini and Ben Juurlink (2013). FPGA-Based Prototype of Nexus++ Task Manager. Proc. 6th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS) 2013, Co-located with SC 2013


Gervin Thomas and Ahmed Elhossini and Ben Juurlink (2014). A Generic Implementation of a Quantified Predictor for FPGAs. GLSVLSI '14: Proceedings of the 24th ACM International Conference on Great Lakes Symposium on VLSI. ACM.


Nina Engelhardt and Tamer Dallou and Ahmed Elhossini and Ben Juurlink (2014). An Integrated Hardware-Software Approach to Task Graph Management. Proc. 16th IEEE International Conference on High Performance and Communications HPCC-2014


Sohan Lal and Jan Lucas and Michael Andersch and Mauricio Alvarez-Mesa and Ahmed Elhossini and Ben Juurlink (2014). GPGPU Workload Characteristics and Performance Analysis. Proc. 14th Int. Conf. on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XIV), 115-124.


Tamer Dallou and Nina Engelhardt and Ahmed Elhossini and Ben Juurlink (2015). Nexus#: A Distributed Hardware Task Manager for Task-Based Programming Models. Proc. The 29th IEEE International Parallel & Distributed Processing Symposium


Hichem Ben Fakih and Ahmed Elhossini and Ben Juurlink (2015). An Efficient and Flexible FPGA Implementation of a Face Detection System. Proceedings of the 23rd ACM/SIGDA International Symposium on Field-Programmable Gate Arrays - Poster Abstract


Hichem Ben Fakih and Ahmed Elhossini and Ben Juurlink (2015). An Efficient and Flexible FPGA Implementation of a Face Detection System. Proceedings of ARC 2015, the 11th International Symposium on Applied Reconfigurable Computing


Farid Rosli and Ahmed Elhossini and Ben Juurlink (2015). Real-Time Vision System for License Plate Detection and Recognition on FPGA. Proc. 26. GI/ITG Workshop Parallel -Algorithmen, -Rechnerstrukturen und -Systemsoftware (PARS), Universität Potsdam, Potsdam, Germany


Tareq Alawneh and Chi Ching Chi and Ahmed Elhossini and Ben Juurlink (2015). A Proximity Scheme for Instruction Caches in Tiled CMP Architectures. Proc. 26. GI/ITG Workshop Parallel -Algorithmen, -Rechnerstrukturen und -Systemsoftware (PARS), Universität Potsdam, Potsdam, Germany


Matthias Göbel and Ahmed Elhossini and Ben Juurlink (2016). A Trace-based Workflow for Evaluating Application-specific Memory Bandwidth for FPGA-SoCs. Proc. 12th Int. Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Fiuggi, Italy (ACACES' 16)


Tareq Alawneh and Ahmed Elhossini (2016). A data access prediction unit for multimedia applications. 2016 28th International Conference on Microelectronics (ICM), 125-128.


Matthias Göbel and Ahmed Elhossini and Chi Ching Chi and Mauricio Alvarez-Mesa and Ben Juurlink (2017). A Quantitative Analysis of the Memory Architecture of FPGA-SoCs (Best paper award a the 13th ARC 2017). Applied Reconfigurable Computing: 13th International Symposium, ARC 2017, Delft, The Netherlands, April 3-7, 2017, Proceedings. Springer International Publishing, 241–252.


Matthias Göbel and Ahmed Elhossini and Ben Juurlink (2017). A Methodology for Predicting Application-specific Achievable Memory Bandwidth for HW/SW-Codesign. Proc. Euromicro Conference on Digital System Design (DSD 2017)


Biography

Lupe

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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