Get access

Get access to Abacus 2.0 in the next four-month window: July 1, 2017 to October 31, 2017. Call opens April 1, 2017 and closes: May 15, 2017 at 12:00.

22/05/17 – The podcast episode with Sebastian Risi (sebastianrisi.com) from Robotics, Evolution and Art Lab (REAL; real.itu.dk) at IT University of Copenhagen is now available in iTunes and at Vidensportalen (vidensportal.deic.dk/podcasts)....
17/05/17 – Alle videre til programmeringsfasen ...
06/03/17 – This is an interview with Sebastian Risi (sebastianrisi.com) from Robotics, Evolution and Art Lab (REAL; real.itu.dk) at IT University of Copenhagen.     Photo by Frank VeenstraSebastian Risi and his research group are combining insights from robotics, artificial intelligence...

What is HPC?

High Performance Computing is a term referring to a computational activity which requires multiple computers to perform the task. HPC clusters allows scientific researchers and engineers to solve large, advanced, complex computational problems which are too big for a single machine to compute. This is achieved by dividing up the task into smaller, more manageable sized tasks and sharing these concurrently across multiple computers (parallel computing). HPC clusters have the ability to handle and analyse massive amount of data over high speed networks, this can dramatically decrease the time needed to analyse such data.

Abacus 2.0

The Abacus 2.0 supercomputer, hosted at the DeIC National HPC centre, SDU, 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 Danish researchers and industry, 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.