The scientific community, particularly in fields such as particle physics and genetic sequencing, is using vast quantities of data to tackle some of the most challenging problems known to science, explains Joshua New in Silicon Republic. But analyzing massive amounts of data requires an enormous amount of computing power, and researchers cannot do this without high-performance computing, also known as supercomputing. As bigger data allows scientists to solve bigger problems, countries that wish to be leaders in the data economy should ensure that computing power can keep up to avoid creating a technical bottleneck for scientific progress.
