Johannes Gutenberg University (JGU)


Johannes Gutenberg-Universität Mainz
Anselm-Franz-von-Bentzel-Weg 12
55128 Mainz
Germany
www.uni-mainz.de
 
 jgu
Research group:
Group  for Efficient Computing and Storage
Johannes Gutenberg-University Mainz
Anselm-Franz-von-Bentzel-Weg 12
55128 Mainz
Germany
 

 

 

Institution Background

With 36,500 students from 130 nations, Johannes Gutenberg University (JGU) Mainz is one of the ten largest Universities in Germany. JGU combines most academic disciplines, including a Medical Centre, the School of Music, and the Mainz Academy of Arts. This is unique in the German academic landscape. JGU has a strong research focus and regularly achieves very good positions in international rankings. Annually, about 600 PhD students complete their studies at JGU. The Welcome Centre for visiting scholars and students provides support for all contractual, insurance, visa and accommodation issues.

 

Research Group Background

The group for Efficient Computing and Storage at the Johannes Gutenberg-University Mainz is focusing on the areas storage systems and scalable computing. We are focusing both on block and file level storage. We are developing protocols and architectures, which are able to efficiently use the underlying storage medias and integrate these architectures within scalable environments. New storage technologies, like solid state disks (SSDs), are integrated within these environments and help us to deliver optimized storage systems, e.g., in the context of data deduplication and backup.

Combining the performance of accelerators and standard processors within a single framework is investigated in the context of next generation HPC. Our compiler extensions automatically extend scientific source codes, so that the resulting applications can be seamlessly moved between CPUs and GPUs, so that the operating system can optimize the nodes’ throughput. An optimized utilization as well as energy efficiency is also investigated in the context of Cloud Computing, where we simplify the access to scientific applications and HPC.