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

Engineers could use this breakthrough in graph theory to design wildly efficient quantum computer chips. By Sarah Wells Published: Mar 01, 2021 5:26 PM EST Getty/Photo Illustration by PM ...

Prof. Kim believes that this work will have a large impact on the IT industry where almost every area utilizes graph data, adding, "T-GPS can significantly increase both the scale and efficiency ...

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 ...

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 used to model a wide variety of systems, such as social networks, communication pathways, computer networks, and ...

Dijkstra’s algorithm was long thought to be the most efficient way to find a graph’s best routes. Researchers have now proved that it’s “universally optimal. ... What’s more, the algorithm is nearly ...

Three Engineering professors received a $1.2 million grant across a four-year span from the National Science Foundation for their research on improving computer efficiency. The recipients are Josep ...