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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20151119T203000Z
DTEND:20151119T210000Z
LOCATION:18CD
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: With the emergence of data science, graph computing is becoming a crucial tool for processing big connected data. Although efficient implementations of specific graph applications exist, the behavior of full-spectrum graph computing remains unknown. To understand graph computing, we must consider multiple graph computation types, graph frameworks, data representations, and various data sources in a holistic way.=0A=0AIn this paper, we present GraphBIG, a benchmark suite inspired by IBM System G project. To cover major graph computation types and data sources, GraphBIG selects representative workloads and data sets from 21 real-world use cases of multiple application domains. Besides, by utilizing System G design, GraphBIG workloads incorporate modern graph frameworks and data representations. We characterized GraphBIG on real machines and observed extremely irregular memory patterns and significant diverse behaviors across different computation. GraphBIG helps users understand the architectural behavior of modern graph computing and enables future graph architecture and system research.
SUMMARY:GraphBIG: Understanding Graph Computing in the Context of Industrial Solutions
PRIORITY:3
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