SCHEDULE: NOV 10-16, 2012
When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.
In-silico Bioscience: Advances in the Complex, Dynamic Range of Life Sciences Applications
SESSION: In-silico Bioscience: Advances in the Complex, Dynamic Range of Life Sciences Applications
EVENT TYPE: Birds of a Feather
TIME: 12:15PM - 1:15PM
SESSION LEADER(S):Jill Matzke, Simon Appleby
ROOM:155-F
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.
Session Leader Details:
Jill Matzke (Primary Session Leader) - SGI
Simon Appleby (Secondary Session Leader) - SGI
Click here to download .ics calendar file
Click here to download .vcs calendar file
Click here to add event to your Google Calendar
In-silico Bioscience: Advances in the Complex, Dynamic Range of Life Sciences Applications
SESSION: In-silico Bioscience: Advances in the Complex, Dynamic Range of Life Sciences Applications
EVENT TYPE:
TIME: 12:15PM - 1:15PM
SESSION LEADER(S):Jill Matzke, Simon Appleby
ROOM:155-F
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.
Session Leader Details:
Jill Matzke (Primary Session Leader) - SGI
Simon Appleby (Secondary Session Leader) - SGI
Click here to download .ics calendar file