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TU Berlin

Inhalt des Dokuments

Matthias Göbel

Contact

Contact information
Room:
E-N 648
Tel.:
+49 (0)30 314-27724
E-Mail

Office hours:
Tu 14-15 (only during lecture time)

Address:
Sekretariat EN 12
Einsteinufer 17
D-10587 Berlin

Research

Awards

  • Best Paper Award for "A Quantitative Analysis of the Memory Architecture of FPGA-SoCs" at ARC 2017
  • HiPEAC Paper Award for "High Performance Memory Accesses on FPGA-SoCs: A Quantitative Analysis" at FCCM 2015

Supervised Theses

Supervised Theses
Design and Implementation of an FPGA-based Optical QAM Receiver for Real-Time Applications
Björn Böttcher
Design and Implementation of a Real-Time Tracking System for Free-Space Optical Communication
Konstantinos Vasiliou
Speichervirtualisierung und -verwaltung für FPGA-SoCs
Ilja Behnke
A Generic Userspace Hardware Abstraction Layer for Linux SoCs
Uffke Drechsler

 

 

Publications

Matthias Göbel (2014). A High-Performance Hardware Accelerator for HEVC Motion Compensation. Lecture Notes in Informatics - Seminars, Informatiktage 2014, 209-212.


Matthias Göbel and Chi Ching Chi and Mauricio Alvarez-Mesa and Ben Juurlink (2015). High Performance Memory Accesses on FPGA-SoCs: A Quantitative Analysis (HiPEAC Paper Award). Proc. IEEE 23rd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM 2015), 2015


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)


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)


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