BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

KAIST’s tool – which is named “Trillion-scale Graph Processing Simulation,” or T-GPS – bypasses the storage step. Instead, T-GPS loads the smaller, real graph into its main memory. Then, it runs the ...

Graphs are widely used to represent and analyze real-world objects in many domains such as social networks, business intelligence, biology, and neuroscience.

Graph databases map relationships between entities in a network. They won’t replace conventional relational databases, but for harnessing the value of interconnectedness they mark a breakthrough ...

Now a trio of computer scientists has solved this long-standing problem. Their new algorithm, which finds the shortest paths through a graph from a given “source” node to every other node, nearly ...

This is a guest post for the Computer Weekly Developer Network written by Henrik Plate in his capacity as a security researcher at Endor Labs - a company known for its approach to ‘reachability ...

The effort will reinvent computer architecture, dramatically increasing efficiency and scalability for graph computing. Such a scope will be necessary to efficiently analyze the world’s largest graphs ...

The K-Computer in Japan continues to top the Graph 500 ranking of the world’s fastest supercomputers. The latest list was released today at SC16 in Salt Lake City. "The Graph 500 measures performance ...