In Situ Visualization for Computational Science

IEEE Comput Graph Appl. 2019 Nov-Dec;39(6):76-85. doi: 10.1109/MCG.2019.2936674.

Abstract

In situ visualization is an increasingly important approach for computational science, as it can address limitations on leading edge high-performance computers and also can provide an increased spatio-temporal resolution. However, there are many open research issues with effective in situ processing. This article describes the challenges identified by a recent Dagstuhl Seminar on the topic.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.