I am looking for a document or hints on best practices when using PDX. The two specific use cases that I’m interested in understanding are: 1. Large arrays — Currently these data types are kept in a shared memory segments that are organized using the most common access pattern (For example: z fastest, then y, then x). When using PDX, should a single large array that normally is on the order of 100s of GB be broken into smaller objects, say z slices to help with loading the data? Are there better ways to use PDX for these 3D and higher dimension arrays? 2. Graphs — One common data type is a directed acyclic graph, specifically a scene graph, that holds graphical representations of business objects. What is the best way to use PDX for large graphs?
Thanks
