sponsored byIEEEACMThe International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 16-21, 2014

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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

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