We further develop system-aware parallel graph algorithms that enable runtime optimizations for faster and safer processing, hence bridging high-performance computing and big data analytics. Finally, ...

TigerGraph is a distributed, native graph computing platform designed to get around these limitations. TigerGraph’s native parallel graph architecture and real-time deep link analytics aim to ...

Full disclosure: Before I talk about how critical graph computing +HPC is going to be, ... a knowledge graph can be sharded across the machines of a large cluster and processed in parallel.

Parallel computing speeds up data crunching. Projects that took hours now take seconds. It's the fundamental concept that, along with advanced semiconductors, has ushered in the AI boom.

Quentin Stout and Christiane Jablonowski from the University of Michigan gave a nice introduction to parallel computing on Sunday. They covered everything from architecture to APIs to the politics ...

The graph below shows the total number of publications each year in Parallel Computing for Differential Equations. References [1] Parallel-in-time multiple shooting for optimal control problems ...