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TU Berlin

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Matthias Göbel

Contact

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

Office hours:
On request

Address:
Sekretariat EN 12
Einsteinufer 17
D-10587 Berlin

Research

  • Embedded Systems
  • High-Performance Computing
  • Digital Hardware Design
  • Tools and Methodologies for Hardware/Software-Codesign
  • Memory Bandwidth Prediction and Optimization
  • Energy-Aware Computing

Awards

  • Best Student Paper Award (Nachwuchspreis) for "Reducing DRAM Accesses through Pseudo-Channel Mode" at PARS 2019
  • 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

Publications

Matthias Göbel and Kai Norman Clasen and Robert Drehmel and Ben Juurlink (2019). Evaluating the Memory Architecture of Next-Generation FPGA-SoCs for HPC. Proceedings of the 17th International Conference on High Performance Computing & Simulation (HPCS 2019). Nominee for Outstanding Paper Award.


Robert Drehmel and Matthias Göbel and Ben Juurlink (2019). A Quantitative Analysis of Processor Memory Bandwidth of an FPGA-MPSoC. Proceedings of the 28th Workshop on Parallel Algorithms, Parallel Computer Structures and Parallel System Software (PARS 2019)


Farzaneh Salehiminapour and Jan Lucas and Matthias Göbel and Ben Juurlink (2019). Reducing DRAM Accesses through Pseudo-Channel Mode. Proceedings of the 28th Workshop on Parallel Algorithms, Parallel Computer Structures and Parallel System Software (PARS 2019). Best Student Paper Award.


Matthias Göbel and Ilja Behnke and Ahmed Elhossini and Ben Juurlink (2018). An Application-Specific Memory Management Unit for FPGA-SoCs. Proceedings of the 25th Reconfigurable Architectures Workshop (RAW 2018) at the 32nd IEEE International Parallel & Distributed Processing Symposium (IEEE IPDPS 2018). Nominee for Best Short Paper Award.


Matthias Göbel and Ahmed Elhossini and Ben Juurlink (2017). A Methodology for Predicting Application-specific Achievable Memory Bandwidth for HW/SW-Codesign. Proceedings of the 20th Euromicro Conference on Digital System Design (DSD 2017)


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. Proceedings of the 13th International Symposium on Applied Reconfigurable Computing (ARC 2017). Best Paper Award winner.


Matthias Göbel and Ahmed Elhossini and Ben Juurlink (2016). A Trace-based Workflow for Evaluating Application-specific Memory Bandwidth for FPGA-SoCs. Proceedings of the 12th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES 2016)


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


Matthias Göbel (2014). A High-Performance Hardware Accelerator for HEVC Motion Compensation. Proceedings of the Informatiktage 2014, 209-212.


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
Evaluating the Memory Architecture of the Zynq Ultrascale+ FPGA-SoC
Kai Norman Clasen
Power Modelling for FPGA Design Space Exploration
Nils Schubert

 

 

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