SC12 Home > SC12 Schedule > SC12 Presentation - HPC Cloud and Big Data Analytics - Transforming High Performance Technical Computing

SCHEDULE: NOV 10-16, 2012

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HPC Cloud and Big Data Analytics - Transforming High Performance Technical Computing

SESSION: HPC in the Cloud II

EVENT TYPE: Exhibitor Forums

TIME: 1:30PM - 2:00PM

Presenter(s):Chris Porter, Scott Campbell

ROOM:155-B

ABSTRACT:
Big Data and Cloud Computing have transitioned from being buzz words to transforming how we think about high-performance technical computing. Traditional technical computing implementations are deployed through purpose-built cluster and grid resources, resulting in monolithic silos, which are often either not fully utilized or overloaded. However, with the rise of Cloud Computing and new techniques for managing Big Data Analytics workloads, this scenario is changing. This presentation explores how Cloud and Workload Management solutions provide a mechanism to transform isolated technical computing resources into a shared resource pool for both compute- and data-intensive applications. On-demand access to resources that can be rapidly provisioned based on workload requirements provides research flexibility, easy access to resources, reduced management overhead, and optimal infrastructure utilization.

Chair/Presenter Details:

Chris Porter - IBM Platform Computing

Scott Campbell - IBM Platform Computing

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HPC Cloud and Big Data Analytics - Transforming High Performance Technical Computing

SESSION: HPC in the Cloud II

EVENT TYPE:

TIME: 1:30PM - 2:00PM

Presenter(s):Chris Porter, Scott Campbell

ROOM:155-B

ABSTRACT:
Big Data and Cloud Computing have transitioned from being buzz words to transforming how we think about high-performance technical computing. Traditional technical computing implementations are deployed through purpose-built cluster and grid resources, resulting in monolithic silos, which are often either not fully utilized or overloaded. However, with the rise of Cloud Computing and new techniques for managing Big Data Analytics workloads, this scenario is changing. This presentation explores how Cloud and Workload Management solutions provide a mechanism to transform isolated technical computing resources into a shared resource pool for both compute- and data-intensive applications. On-demand access to resources that can be rapidly provisioned based on workload requirements provides research flexibility, easy access to resources, reduced management overhead, and optimal infrastructure utilization.

Chair/Presenter Details:

Chris Porter - IBM Platform Computing

Scott Campbell - IBM Platform Computing

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar