In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for ...

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 ...

Faster data loading to build graphs quickly; Faster execution of parallel graph algorithms; Real-time capability for streaming updates and inserts using REST ...

TigerGraph today announced that the latest release of its parallel graph database can be fully controlled with Kubernetes. With version 3.2, the company also added the ability to scale the database up ...

A new open-source library by Nvidia could be the secret ingredient to advancing analytics and making graph databases faster. The key: parallel processing on Nvidia GPUs.

Thanks to improvements, such as faster data loading to build graphs quickly, faster execution of parallel graph algorithms and the ability to scale up and out for distributed applications, graph ...

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 ...

Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many algorithms always seem to work efficiently. But in theory, there is no guarantee ...

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 ...