Universität Bayreuth


Universität Bayreuth
Universitätsstraße 30
95447 Bayreuth
Germany
 
bayreuth
Research group:
Parallel and Distributed Systems
Director:
Prof. Dr. Thomas Rauber
Universität Bayreuth
Institut für Informatik (AI)
Universitätsstraße 30
95447 Bayreuth, Germany
ai2

AI 2

 

Institution Background

The University of Bayreuth is a young, research-oriented Campus-University in northern Bavaria. The city of Bayreuth is renowned for the traditional Richard Wagner “Festspiele”. The University of Bayreuth has a strong focus on research and offers a wide range of study programs covering topics such as computer science, physics, mathematics, chemistry, biology, engineering sciences, languages, law, economics and related areas. The university currently has about 12.000 students and provides a good environment for students and researchers. A strong emphasis lies on interdisciplinary research and teaching. There exist several international cooperations with universities and research institutions world-wide, see the webpage of the university (www.uni-bayreuth.de) for more information.

 

Research Group Background

The research group “Parallel and Distributed Systems” of the Computer Science Department of the University of Bayreuth is led by Thomas Rauber. The research group currently consists of 8 researchers and administrative staff members. The research focus of the group lies in the investigation of the principles, technology and programming of parallel and distributed systems. The goal is to simplify the programming of various complex systems, so that the user can concentrate on the properties of the algorithms and the required computations, while the software system realizes the efficient use on the respective platform. Priorities are on the development of new and efficient implementation of known parallel algorithms from the field of scientific computing, the development of new programming models for the realization of adaptive, scalable, and flexible deployments, scheduling and load balancing methods and the resulting energy consumption as well as the development of programming environments and software libraries that provide the user with these approaches with several levels of abstraction. More information can be accessed via the webpage www.ai2.uni-bayreuth.de.

 

Thomas Rauber is Professor of Computer Science at the University of Bayreuth, where he holds the Chair for Parallel and Distributed Systems (Angewandte Informatik II, AI 2) since 2002. From 1996 – 2002, he has been a Professor at the Martin-Luther-University Halle-Wittenberg. Thomas Rauber reached a Doctorate and habilitation degree from the University of Saarbrücken in 1990 and 1996, respectively.

 

Major Interest in Action Scientific Topics

  • Scheduling and load balancing for ultra-scale systems
  • Scalability issues for numerical applications in ultra-scale environments
  • Energy efficient computing for DVFS processors
  • Hierarchical programming models for ultra-scale computing