Get access

Get access to Abacus 2.0 in the next four-month window: October 31, 2017 to February 28, 2018. Call closes: September 15, 2017 at 12:00.

18/08/17 – Scientific Computing on Clouds Distributed computing infrastructures are evolving from the Grid paradigm that has traditionally supported HEP experiments, towards a Cloud model, more flexible from the resource provision point of view, but more challenging when it comes to...
07/08/17 – What causes cells to age? It has long been suspected that free radicals can play an important role in this process. Free radicals are atoms or molecules that have one or more unarrayed electrons in the outer shell and thus become reactive. To study how free radicals affect our...
04/07/17 – EP J D Highlight published on Monday 26 June, 2017. See https://epjd.epj.org/epjd-news/1300-epjd-highlight-first-aid-kit-in-some-living-organisms-helps-fix...

The SDU eScience Center

A single point of reference for eScience and research e-infrastructure at SDU.

The Center is structured as a competent research-based organization that has the ownership of the common research infrastructure for eScience, provides user support across the faculties and develops future e-infrastructures and services.

The Center Director is Professor MSO Claudio Pica, email pica@cp3-origins.net

Abacus 2.0

The Abacus 2.0 supercomputer - DeIC National HPC centre, SDU- hosted at the SDU eScience Center, is a state-of-the-art solution optimized for a wide range of applications in computational science and technology. It is one of the three Danish National Supercomputing Services.

Open to all researchers and industry in Denmark, coming both from the traditional HPC disciplines as well as the emerging ones, Abacus 2.0 is able to perform 766 trillion operations per second opening new and unique research opportunities for its users.

Current applications cover advanced modeling and simulations in chemistry, material science, biophysics, high-energy physics, engineering, computational medicine, archeology as well as scientific data visualization.