|This year NESUS has been present in SC16.
Posters were displayed at Bergen and NTNU Booths. Thank you Ann and Magne!
We also cooperated in the organization of a BoF for EU and international cooperation in HPC.
Agreement number: INEA/CEF/ICT/A2015/1129678
Action No: 2015-eu-IA.0058. Start date: 01/10/2016. Duration: 13 months
The research group ARCOS of University Carlos III de Madrid is participating in the Govein Project.
Govein is a research Project funded by Connecting Europe facility Programme with the aim of easing the adoption of e-invoicing by public and private entities in the private sector. The project has a duration of 13 months (from October 2016 to October 2017) and bring together the main actors related to cross border exchange of electronic e-invoice in the Public Health area following EU Directive 2014/55.
NESUS – or Network for Sustainable Ultrascale Computing – formed earlier this year to study the challenges of ultrascale computing. Launched with about 30 European partner countries, the cross-community initiative has grown to include 39 European countries and six countries from other continents. The goal: to produce a catalogue of open source applications for large-scale complex systems two to three orders of magnitude larger than today’s systems.
Some two hundred scientists from more than 40 countries are researching what the next generation of ultrascale computing systems will be like. The study is being carried out under the auspices of NESUS, one of the largest European research networks of this type coordinated by Universidad Carlos III de Madrid (UC3M).
Ultrascale systems combine the advantages of distributed and parallel computing systems. The former is a type of computing in which many tasks are executed at the same time coordinately to solve one problem, based on the principle that a big problem can be divided into many smaller ones that are simultaneously solved. The latter system, in both grid and cloud computing, uses a large number of computers organized into clusters in a distributed infrastructure, and can execute millions of tasks at the same time usually working on independent problems and big data.