BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121115T203000Z
DTEND:20121115T210000Z
LOCATION:155-B
DESCRIPTION;ENCODING=QUOTED-PRINTABLE: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.
SUMMARY:HPC Cloud and Big Data Analytics - Transforming High Performance Technical Computing
PRIORITY:3
END:VEVENT
END:VCALENDAR
BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121115T203000Z
DTEND:20121115T210000Z
LOCATION:155-B
DESCRIPTION;ENCODING=QUOTED-PRINTABLE: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.
SUMMARY:HPC Cloud and Big Data Analytics - Transforming High Performance Technical Computing
PRIORITY:3
END:VEVENT
END:VCALENDAR