The Top 10 Challenges in Extreme-Scale Visual Analytics

Extreme-Scale Visual Analytics

The September/October 2004 CG&A introduced the term visual analytics (VA) to the computer science literature. In 2005, an international advisory panel with representatives from academia, industry, and government defined VA as “the science of analytical reasoning facilitated by interactive visual interfaces.” VA has grown rapidly into a vibrant R&D community offering data analytics and explorati...

Challenges for visual analytics

Visual Analytics: Scope and Challenges

In today’s applications data is produced at unprecedented rates. While the capacity to collect and store new data rapidly grows, the ability to analyze these data volumes increases at much lower rates. This gap leads to new challenges in the analysis process, since analysts, decision makers, engineers, or emergency response teams depend on information hidden in the data. The emerging field of v...

Scale and complexity in visual analytics

This article is a product of a workshop on the Future of Visual Analytics, held in Washington, DC on 4 March 2009. Workshop attendees included representatives from the visual analytics research community across government, industry and academia. The goal of the workshop, and the resulting papers, was to reflect on the first 5 years of the visual analytics enterprise and propose research challen...

Software Challenges in Extreme Scale Systems

Computer systems anticipated in the 2015 – 2020 timeframe are referred to as Extreme Scale because they will be built using massive multi-core processors with 100’s of cores per chip. The largest capability Extreme Scale system is expected to deliver Exascale performance of the order of 10 operations per second. These systems pose new critical challenges for software in the areas of concurrency...