Zum Inhalt springen
Menü
Technische Universität München
Technische Universität München

Forschungsschwerpunkte

 Rechnerarchitektur

  • Moderne Prozessor Architekturen
  • Rekonfigurierbare Rechensysteme 
  • Architekturen für Raumfahrtmissionen

Hochleistungsrechnen

  • HPC Architekturen
  • Parallele Programmier Modelle and Werkzeuge
  • Parallele Systemsoftware und Resourcenmanagement 
  • Power/Energy Effizientes Rechnen
  • Fehlertoleranz

Cloud und IoT Architekturen

 

News

Invited talk "An exponential integrating perspective on training neural networks for linear PDEs"

by Dr. Martin Schreiber, "Simulation großer Systeme" Seminar at the University of Stuttgart [mehr]

Annual ISC Programme Committee Meeting in Frankfurt, Germany

As a PC member of the International Supercomputing Conference (ISC-HPC), which will introduce the latest Top500 list in Frankfurt in June this year, Carsten Trinitis took part in the PC meeting on January 27-28... [mehr]

Accepted research paper at ISC 2020 by Amir Raoofy, Roman Karlstetter, Dai Yang, Carsten Trinitis and Martin Schulz of CAPS

Title: Time Series Mining AT Petascale Performance. Amir Raoofy, Roman Karlstetter, Dai Yang Carsten Trinitis, Martin Schulz Conference: ISC High Performance, Fankfurt, Germany, June 2020. The mining of... [mehr]

Accepted paper at ISC 2020 by Eishi Arima from the University of Tokyo, in collaboration with Carsten Trinitis and Martin Schulz of CAPS

Titel: Footprint-Aware Power Capping for Hybrid Memory Based Systems. Authors: Eishi Arima, Toshihiro Hanawa, Carsten Trinitis, Martin Schulz. Conference: ISC High Performance, Frankfurt, Germany, June 2020. ... [mehr]

On the way to robust methods for training Artificial Neural Networks for time integrating PDEs (Talk by Dr. Martin Schreiber)

Date: 28.1.2020 Speaker: Dr. Martin Schreiber, Technical University of Munich Time integration of PDEs to simulate the atmosphere is a non-trivial task once considering wallclock time as well as accuracy... [mehr]

To top