Automating Vectorized Distributed Graph Computation (Technical Perspective)

Graph data, which are used to model relationships between objects of interest, arise in many important applications today. For example, they are used to model human relationships in social networks, links among Web pages on the Internet, transactions in financial networks, interactions among proteins, genes, and molecules in biological/chemical networks, meshes in scientific simulations, particle interactions in physical/quantum systems, relationships among galaxies in astronomical studies, communication in cyber networks, and links in geospatial data. Analyzing the structure and properties of these graphs is an important component of many data analytics pipelines.