Nvidia has expanded its support of NetworkX graph analytic algorithms in RAPIDS, its open source library for accelerated computing. The expansion means data scientists can run 40-plus NetworkX ...

Another key improvement is the native Python client. First ... said that this had not been much of an issue because running graph algorithms in memory is fast, and there are safeguards in place ...

Dask, a Python library for parallel computing ... It offers a good selection of graph algorithms, primitives, and utilities, all with GPU-accelerated performance. The selection of APIs in cuGraph ...

For decades computer scientists had been trying to develop a fast algorithm for determining when it’s possible to add edges to a graph so that it remains “planar,” meaning none of its edges cross each ...

Programming Background: The course involves solving programming assignments in Python. You must be comfortable with Python programming. This includes basic control structures in Python: conditional ...