Dynamic data visualisation and Information Theory

Chen, M. (Speaker)

Activity: Talk or presentation typesInvited talk

Description

Large scale simulations and visualisation in medicine and physics are often used to help understand and predict diseases and complex physical phenomenon. These simulations are often run on HPCs in batches which impose limitations on our ability to interactively interrogate their visualisation in-situ. This talk first discusses a heterogeneous compute platform for generating data visualisation in-situ. This is followed by a discussion on the use of information theory to automatically generate “important views” of time varying data.
Period21 Nov 2020
Held atAnhui University, China
Degree of RecognitionInternational