direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Matthias Göbel

Kontaktdaten

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

Sprechstunde:
Nach Vereinbarung

Anschrift:
Sekretariat EN 12
Einsteinufer 17
D-10587 Berlin

Forschung

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

Ehrungen

  • Best Student Paper Award (Nachwuchspreis) for "Reducing DRAM Accesses through Pseudo-Channel Mode" at PARS 2019
  • Best Paper Award für "A Quantitative Analysis of the Memory Architecture of FPGA-SoCs" at ARC 2017
  • HiPEAC Paper Award für "High Performance Memory Accesses on FPGA-SoCs: A Quantitative Analysis" at FCCM 2015

Betreute Abschlussarbeiten

Betreute Abschlussarbeiten
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

Publikationen

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)


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


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.


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 (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 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 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.


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.


Zusatzinformationen / Extras

Direktzugang:

Schnellnavigation zur Seite über Nummerneingabe