The current era of extreme data culled from a range of diverse data sources, ranging from extreme scale simulations to instruments, experiments, and pervasive sensors and systems, has the potential for revolutionizing science, engineering, and society in general. However, the expanding distribution and dynamism of the data, increasing data heterogeneity and uncertainty about its quality and availability, as well as the growing costs (time and energy) associated with transporting and processing this data, requires new paradigms and practices in data management and analytics, as well as supporting software stacks before this potential can be realized.

The goal of this special issue of CiSE is to explore the fundamental challenges — as well as the state of the art in solutions — of extreme data. From innovative algorithmic formulations to implementation frameworks and software stacks, what can accelerate insights from extreme data? End-to-end application workflows and relevant experiences with real applications are of particular interest.

Published by the IEEE Computer Society and the American Institute of Physics, CiSE magazine features the latest computational science and engineering research in an accessible format, along with departments covering news and analysis, CSE in education, and emerging technologies.

We strongly encourage submissions that include multimedia, data, and community content, which will be featured on the IEEE Computer Society website along with the accepted papers.

For more information please see http://www.computer.org/portal/web/computingnow/cscfp4