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SCHEDULE: NOV 16-21, 2014
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.
How to Scale In-Memory Real-Time Analytics
SESSION: Software for HPC
EVENT TYPE: Exhibitor Forums
TIME: 11:00AM - 11:30AM
SESSION CHAIR: Dane Skow
Presenter(s):Atle Vesterkjær, Laurence Liew
ROOM:291
ABSTRACT:
Atle Vesterkjær will discuss how big Numascale shared memory systems can be used to get excellent scaling of applications that have been hard to scale on
traditional clusters. He presents methods to take advantage of the extreme
number of cores that the Numascale systems enable. The
combination of large memory and a high number cores make the Numascale
Shared Memory solution more balanced for Big Data applications than any other
large shared memory system. Applications in the field In-Memory Real-Time
Analytics are especially addressed with emphasis on software that Numascale
has implemented and offers on its NumaQ systems.
Laurence Liew will share his perspective on the current hype around big data and why people experienced with HPC are best positioned to ride this wave. He will discuss where the big data market is moving, and in particular the next-generation of in-memory analytics infrastructure and software tools.
Chair/Presenter Details:
Dane Skow (Chair) - Self
Atle Vesterkjær - Numascale AS
Laurence Liew - Numascale AS
Click here to download .ics calendar file
