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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:2.0
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DTSTART:20151118T173000Z
DTEND:20151118T180000Z
LOCATION:12AB
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: The objectives of High Performance Data Analytic (HPDA) systems are to maintain the productivity of Open Source Big Data frameworks (e.g. Hadoop, Accumulo, Spark) while improving their performance through the use of High Performance Computing (HPC) systems technology.  We describe our efforts to define an HPDA Workflow Architecture. This architecture is enabled by three key components. First, a visual workflow tool is required, to provide a parameterizeable and repeatable interface for multi-step analytics. Second, an extensible tool is needed to dynamically deploy a heterogeneous suite of open source frameworks to HPC resources in a just-in-time fashion. Finally, a memory-centric data grid is needed to maximize the performance of data transfers between analytic steps in the workflow. We conclude with a description of a prototype implementation of the workflow architecture, and show how it enables the construction of a complex multi-step graph analytic solution to a real-world Social Network Analysis problem.
SUMMARY:High Performance Data Analytics:  Constructing Complex Analytic Workflows in an HPC Enclave
PRIORITY:3
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