BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:2.0
BEGIN:VEVENT
DTSTART:20151117T231500Z
DTEND:20151118T010000Z
LOCATION:Level 4 - Lobby
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: The increases in volume and inter-connectivity of graph data result in the emergence of recent scalable and high performance graph analysis systems. Those systems provide different graph representation models, a variety of querying interfaces and libraries, and several underlying computation models. As a consequence, such diversities complicate in-situ choices of optimal platforms for data scientists given graph analysis workloads. In this poster presentation, we compare recent high performance and scalable graph analysis systems in distributed and supercomputer-based processing environments with two important graph analysis workloads: graph mining and graph pattern matching. We also compare those systems in terms of expressiveness and suitability of their querying interfaces for the two distinct workloads.
SUMMARY:Benchmarking High Performance Graph Analysis Systems with Graph Mining and Pattern Matching Workloads
PRIORITY:3
END:VEVENT
END:VCALENDAR