Integrated solutions to computational science problems often require not only large processing power, but in general also efficient methods and techniques to store, manage, retrieve, analyze and discover the knowledge contained in the often huge amounts of data generated in experiments and computer-based modeling and simulation processes.
This workshop will demonstrate established approaches with examples of scientific and industrial relevance, but also raise the question whether these approaches will be sufficient in the future to cope with the quickly growing complexity of data. Will there be completely new methods emerging? What can we learn from the experiences gained with very large data-bases in business computing?
The 27th SPEEDUP Workshop is intended to bring together members of academic institutions, private enterprises and government who are interested to obtain an overview of the state-of-the-art in scientific data processing and to learn about new methods in management of, and knowledge discovery in, very large amounts of scientific data generated in computational science modeling and simulation processes.
Topics will include, but will not be limited to the discussion of trends in
The list of confirmed speakers includes
Further information on the SPEEFUP Society can be obtained from http://www.speedup.ch/.