As simulations grow in complexity the data extracted from the model grows in size. For engineers and scientists, it is difficult and tedious to gain meaningful insights for large data sets; hence visualization becomes critical to computer simulation since it provides a more natural means to extract the salient information of abstruse data. Additionally, visualization makes it easier to share and communicate the content of a simulation leading to wider interest and understanding of its 
results. Therefore, we have been developing a rendering pipeline called Chrono::Render which provides a simple means to efficiently create high quality renderings of arbitrary data. The pipeline uses the open source Blender modeling software as the front end via a plugin. The data is then passed to the Simulation Based Engineering Lab’s Euler server via a web interface to render with Pixar’s PhotoRealistic RenderMan (PRMan) or an open source alternative such as Aqsis or Pixie.
Contributors: Daniel Kaczmarek and Aaron Bartholomew