11 Nov 2018
Place: Dallas, Texas

Dirk Pleiter presents the ICEI project at the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18) in Dallas, Texas on 11 November.

His talk focuses on addressing grand challenges in sciences, which require HPC and data infrastructures that facilitate collaboration and data sharing in combination with the capability to store vast amounts of data as well as to access and process them with high performance. He reports on the efforts of several European supercomputing centres towards Fenix, a federated high-performance compute and data infrastructure. This is currently being implemented by the ICEI project as part of the Human Brain Project. As such, the brain research community is the main driver for designing this infrastructure. It targets, however, also other science communities like materials science.

More information:

Panel 1: Service-Oriented HPC and Data Infrastructures for Science in Germany
Session: 2nd ATIP Workshop on International Next-Generation Computing Programs and Workforce Development
Date: November 11, 2018
Time: 11:05am - 11:15am
Location: D222

Click here for more details.

ICEI is also present at the booth No 3453, shared with the Juelich Supercomputing Centre, where visitors are able to learn about how the HPAC Platform and Fenix Infrastructure provide computing and data services for the Human Brain Project and the neuroscience community. A corresponding video, called "Building an infrastructure for brain research", was shared at the booth and can be found here.

About the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC):

SC is an annual conference established by the Association for Computing Machinery and the IEEE Computer Society. It sponsors several soceity awards and hosts research exhibitions that include universities, state-sponsored computing research organizations and vendors of HPC-related hardware and software from many countries around the world.

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Fenix has received funding from the European Union's Horizon 2020 research and innovation programme through the ICEI project under the grant agreement No. 800858.