According to an article published on isgtw, new computational techniques developed at Lawrence Berkeley National Laboratory (LBNL) in California, US, may help save scientists from drowning in their own data. Computational scientists at the lab have figured out how to streamline the analysis of enormous scientific datasets. The analysis uses the same techniques that make complex subway systems understandable at a glance.
Their work is described in a paper published in PPoPP’13: Proceedings of the 18th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming.
This project has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no 313203