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Start of the Interdisciplinary Center "GreenCompute – Center for Saving Energy in Large-Scale Data Analysis and HPC"



IZ GreenCompute – Center for Saving Energy in Large-Scale Data Analysis and HPC

The Interdisciplinary Center GreenCompute sets out to research, establish, manage and communicate energy-reducing measures in large-scale computing and in HPC at Humboldt-Universität zu Berlin. It will be based on two pillars - research track and transfer track - which will interact continuously: one dedicated to original, interdisciplinary research, and one concerned with the introduction of technologies and infrastructures which in turn enable and support this research and at the same time implement its findings technically.

The work of the center will be closely coordinated with the novel HPC@HU service and within the Berlin University Alliance (BUA). A cornerstone of the center is the interdisciplinary cooperation of experts in data analysis / HPC with scientists relying on such services. Both parties are represented equally in the pair of speakers and in its PIs. The center will also reach out to a rich network of other organizations that are also concerned with the ever-increasing energy hunger of digital research methods.

 

Speaker: Prof. Dr. Ulf Leser, Department of Computer Science

Speaker: Prof. Dr. Claudia Draxl, Department of Physics

Collaborator: Dr. Maik Bierwirth, Project Development, Computer and Media Service

Co-applicants/Principal Investigators: 

Malte Dreyer, Director of Computer and Media Service

Prof. Dr. Sonja Greven, Economics (Statistics)

Prof. Dr. Patrick Hostert, Department of Geography

Prof. Dr. Roland Meyer, Department of Slavic and Hungarian Studies

Prof. Dr. Henning Meyerhenke, Department of Computer Science

Prof. Dr. Susanne Schreiber, Department of Biology

Prof. Dr. Andrea Walther, Department of Mathematics

Prof. Dr. Matthias Weidlich, Department of Computer Science

For further details see https://www.greencompute.hu-berlin.de/en/greencompute-2013-center-for-saving-energy-in-large-scale-data-analysis-and-hpc.