TigerGraph’s native parallel graph architecture and real ... we’ll take a brief look at how graph processing works, explore the benefits of deep link analytics, and lift the hood on TigerGraph ...

AnzoGraph is a massively parallel, in-memory OLAP graph database that works with ... analytics as well as real-time online transaction processing and high-volume data loading.

If you look back at it now, especially with the advent of massively parallel computing on GPUs ... to connect up to 131,072 sleds together to make a massive shared memory graph processing ...

Google designed Pregel as a graph processing engine that would be able to deliver programmability ... benchmarks from other Pregel-like approaches that use the bulk synchronous parallel computing ...

TigerGraph lists ML Workbench’s built-in capabilities as the following: TigerGraph DB’s distributed storage and massively parallel processing, graph-based partitioning to generate ...

Altair, a global leader in computational intelligence, announced that Altair® RapidMiner®, Altair's data analytics and AI ...

and data processing units (DPUs). However, what almost all modern software has in common is that it can run in parallel, meaning that it can be broken down and have different tasks run multiple ...