BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121115T191500Z
DTEND:20121115T201500Z
LOCATION:255-EF
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Data intensive computing, popularly known as Big Data, has grown enormously in importance over the past 5 years.   However, most data intensive computing is focused on conventional analytics:  searching, aggregating and summarizing the data set.=0A=0AGraph analytics goes beyond conventional analytics to search for patterns of relationships, a capability that has important application in many HPC areas ranging from climate science to  healthcare and life sciences to intelligence. =0A  =0AThe purpose of this BOF is to bring together practitioners of graph analytics.   Presentations and discussions will include system architectures and software designed specifically for graph analytics; applications; and benchmarking.
SUMMARY:Graph Analytics in Big Data
PRIORITY:3
END:VEVENT
END:VCALENDAR
BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121115T191500Z
DTEND:20121115T201500Z
LOCATION:255-EF
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Data intensive computing, popularly known as Big Data, has grown enormously in importance over the past 5 years.   However, most data intensive computing is focused on conventional analytics:  searching, aggregating and summarizing the data set.=0A=0AGraph analytics goes beyond conventional analytics to search for patterns of relationships, a capability that has important application in many HPC areas ranging from climate science to  healthcare and life sciences to intelligence. =0A  =0AThe purpose of this BOF is to bring together practitioners of graph analytics.   Presentations and discussions will include system architectures and software designed specifically for graph analytics; applications; and benchmarking.
SUMMARY:Graph Analytics in Big Data
PRIORITY:3
END:VEVENT
END:VCALENDAR