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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20151118T163000Z
DTEND:20151118T180000Z
LOCATION:16AB
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: As data intensive science emerges, the need for high performance computing (HPC) to converge capacity and capabilities with Big Data becomes more apparent and urgent.  Capacity requirements have stemmed from science data processing and the creation of large scale data products (e.g., earth observations, Large Hadron Collider, square-kilometer array antenna) and simulation model output (e.g., flight mission plans, weather and climate models). Capacity growth is further amplified by the need for more rapidly ingesting, analyzing, and visualizing voluminous data to improve understanding of known physical processes, discover new phenomena, and compare results.=0A=0A•	How does HPC need to change in order to meet these Big Data needs? =0A•	What can HPC and Big Data communities learn from each other?=0A•	What impact will this have on conventional workflows, architectures, and tools? =0A=0AAn invited international panel of experts will examine these disruptive technologies and consider their long-term impacts and research directions.
SUMMARY:Supercomputing and Big Data: From Collision to Convergence
PRIORITY:3
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