In-situ visualization is a term for running a solver in tandem with visualization. By coupling these together we can utilize the high performance computing for post processing, and we can circumvent the bottlenecks associated with storing and retrieving data in disk storage. To simplify the integration of visualization and post processing into computational code, we present the coprocessing library provided as part of the ParaView framework. ParaView is a powerful open-source turnkey application for analyzing and visualizing large data sets in parallel. The coprocessing library provides a programmatic interface to the ParaView framework that simplifies integration with existing codes. Attendees will learn the structure of the coprocessing API and how to bind it to C, C++, Fortran, and Python. Attendees will also receive instructions on customizing the ParaView build to a particular code, minimizing the memory footprint, and simplifying the specification of analysis tasks via integration with the ParaView application.
Supercomputing 2012 Tutorial
This tutorial will be held on November 11, 2012, as part of the Supercomputing 2012 Conference. This tutorial corresponds to the upcoming ParaView 4.0 release.
Supercomputing 2010 Tutorial
This tutorial was held on November 14, 2010, as part of the Supercomputing 2010 Conference. This tutorial corresponds to ParaView 3.14.1 and earlier versions.