BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121115T191500Z
DTEND:20121115T201500Z
LOCATION:155-F
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Few disciplines are facing exponential growth in both algorithm and dataset size and complexity as is the case in life sciences.  From genome assembly to high content screening and integrative systems modeling, the demands on both the software and hardware side require a dynamic range in computing capability and therefore present a major HPC challenge.  This session details some of the ground-breaking results in cancer research and other areas, gained from solutions such as massive, in-memory computing and presented by prominent research institutions in collaboration with leading solution vendors working to advance the science.
SUMMARY:In-silico Bioscience:  Advances in the Complex, Dynamic Range of Life Sciences Applications
PRIORITY:3
END:VEVENT
END:VCALENDAR
BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121115T191500Z
DTEND:20121115T201500Z
LOCATION:155-F
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Few disciplines are facing exponential growth in both algorithm and dataset size and complexity as is the case in life sciences.  From genome assembly to high content screening and integrative systems modeling, the demands on both the software and hardware side require a dynamic range in computing capability and therefore present a major HPC challenge.  This session details some of the ground-breaking results in cancer research and other areas, gained from solutions such as massive, in-memory computing and presented by prominent research institutions in collaboration with leading solution vendors working to advance the science.
SUMMARY:In-silico Bioscience:  Advances in the Complex, Dynamic Range of Life Sciences Applications
PRIORITY:3
END:VEVENT
END:VCALENDAR