Short algorithm, long-range consequences Date: March 2, 2013 Source: Massachusetts Institute of Technology Summary: A new technique for solving 'graph Laplacians' is drastically simpler than its ...

The new algorithm checks planarity in a number of steps proportional to the cube of the logarithm of the number of nodes in the graph — an exponential improvement. Holm and Rotenberg, a computer ...

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 ...

A puzzle that has long flummoxed computers and the scientists who program them has suddenly become far more manageable. A new algorithm efficiently solves the graph isomorphism problem, computer ...

Efficient Multicore Graph Algorithms. Julian Shun. Shun points out that it's hard to write efficient parallel code, and talks about criteria for optimizations: these depend, he says, on the type ...

Graph analytics is a hot topic, but what does it mean? At the DC GraphTour, I learned the difference between graph queries, graph algorithms, and graph analytics. Next up: San Francisco GraphTour.

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 ...

Since the 1970s, algorithms have been able to test graph isomorphism, but in exponential time. This means that the increasing ...