Data visualization improves understanding of application behavior

A better understanding of computational data and patterns

Most of the applications you are developing are engines for manipulating data. Whether observational or computational, it is the data that you really care about. When you are trying to develop insight into the behavior of a physical system you approach it quantitatively. The same approach is necessary when trying to understand the behavior of computational systems.

Graphical representations accelerate time to discovery

Troubleshooting involves exploring the behavior of a live application, looking for clues to why the computation is not proceeding as expected. Programmers who are troubleshooting scientific applications need the ability to explore the data that is presented to them, slicing it in different ways to uncover patterns. It is critical that you have the tools that make it easy to view and manipulate that data. TotalView and ReplayEngine help you streamline this process by accelerating your time to discovery.