Graph analytics is the evaluation of information that has been organized as objects and their connections. The purpose of graph analytics is to understand how the objects relate or could relate.

Advanced computing testbeds, the proving grounds for new machines, are central to the development of next-generation computers. They allow researchers to explore a complex and non-linear design space and facilitate the evaluation of new computing technologies in terms of performance and efficiency on critical scientific workloads. These “laboratories of machines,” in which multiple components are available for experimentation, are critical to the next greatest advancements in computation.

Deep reinforcement learning can best be explained as a method to learn to make a series of good decisions over some time.