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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20151115T143000Z
DTEND:20151115T180000Z
LOCATION:19B
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Graphs model social networks, human knowledge, and other vital information for business, governance, and academic practice. =0A=0AAlthough both industry and academia are developing and tuning many graph-processing algorithms and platforms, the performance of graph-processing platforms has never been explored or compared in-depth. Moreover, graph processing exposes new bottlenecks in traditional HPC systems (see differences in Top500 and Graph500 rankings).=0A=0AComplementing Graph500, the Linked Data Benchmark Council (LDBC) consortium, which involves over 25 academic and industry partners, focuses on the development of benchmarks that will spur research and industry progress in large-scale graph and RDF data management. =0A=0AThis tutorial introduces the SC audience to the latest LDBC benchmarks. Attendees will learn about and experiment with methods and tools for performance evaluation and optimization for graph processing platforms, and become able to explain the performance dependency Platform-Algorithm-Dataset. The attendees will understand in-depth three workloads, interactive social networking, semi-online business intelligence based on analytical queries, and batch full-graph analytics. The tutorial presents real-world experiences with commonly used systems, from graph databases such as Virtuoso and Neo4j, to parallel GPU-based systems such as Totem and Medusa, to distributed graph-processing platforms such as Giraph and GraphX. The tutorial also includes significant hands-on and Q&A components.
SUMMARY:Benchmarking Platforms for Large-Scale Graph Processing and RDF Data Management: The LDBC Approach
PRIORITY:3
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