Visualization and computational steering in heterogeneous computing environments

Abstract

Online visualization and computational steering has been an active research issue for quite a few years. The use of high performance scientific applications in heterogeneous computing environments still reveals many problems. With OViD we address problems that arise from distributed applications with no global data access and present additional collaboration features for distributed teams working with one simulation. OViD provides an interface for parallel and distributed scientific applications to send their distributed data to OViD’s object pool. Another interface allows multiple visualization systems to attach to a running simulation, access the collected data from the pool, and send steering data back.