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HP Boosts Research at University of Utah

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  Published in Science and Technology on Wednesday, June 29th 2011 at 4:55 GMT by Market Wire
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PALO ALTO, Calif.--([ BUSINESS WIRE ])--HP (NYSE: HPQ) today announced that the University of Utaha™s Center for High Performance Computing (CHPC) has selected HP storage and servers to reduce the data processing time required for research projects by 50 percent⁽¹⁾ and accelerate information delivery.

"The flexibility and cost efficiencies of the HP X9320 IBRIX system align with the CHPCa™s goals of maximizing productivity for clients while decreasing downtime."

The CHPC provides large-scale high-performance systems to faculty and research groups that need advanced computing resources. However, existing systems at the CHPC required days or weeks⁽²⁾ to complete a project, lacking the performance needed to process and deliver large quantities of information.

Upgrading to [ HP Converged Infrastructure ], the center chose the [ HP X9320 IBRIX Network Storage System ], a scalable, flexible and cost-efficient storage infrastructure, as well as [ HP ProLiant SL160z G6 ] servers, optimized for performance per watt and square foot, while maximizing power efficiency with shared power supplies.

aOur research groups use the CHPC resources to quickly collect and analyze information for a variety of research projects at a national level,a said Guy Adams, assistant director, Center for High Performance Computing, University of Utah. aWhen benchmarking potential solutions, we realized that the HP IBRIX-based X9320 would not only improve the efficiency of our operations and research, it offered a apay as you growa™ approach that allowed us to optimize our initial investments.a

HP X9000 IBRIX Network Storage Systems offer the benefits of a modular storage infrastructure with capacity and performance of a scale-out architecture. It accommodates rapid storage growth, which is critical for CHPC environments and performance-intensive applications.

The CHPC also implemented HP ProLiant SL160z G6 servers to boost performance and simplify management with [ HP Insight Control ] software, which allows administrators to control the management and monitoring of the server infrastructure onsite or remotely.

As a result, HP solutions enabled the CHPC to:

• Achieve greater return on investment by transferring large data sets in hours instead of days. The improved balance between capacity and performance is a result of intelligently sorting data using storage tiers. Keeping the more important data on the highest performing storage tiers allows professors to drive critical research even on a limited budget.⁽³⁾
• Reduce processing time of research projects from three days to one-and-a-half days by eliminating input/output bottlenecks. This enables researchers to rapidly access final information after the research process is completed.⁽¹⁾
• Simplify management operations from days to minutes with a centralized management interface that controls storage from a single location.⁽²⁾

aThe University of Utaha™s CHPC needed a storage infrastructure that would support diverse system users and different types of workloads at once, while providing a highly scalable environment,a said Chris Riley, vice president, Americas, Storage, HP. aThe flexibility and cost efficiencies of the HP X9320 IBRIX system align with the CHPCa™s goals of maximizing productivity for clients while decreasing downtime.a

About HP

HP creates new possibilities for technology to have a meaningful impact on people, businesses, governments and society. The worlda™s largest technology company, HP brings together a portfolio that spans printing, personal computing, software, services and IT infrastructure at the convergence of the cloud and connectivity, creating seamless, secure, context-aware experiences for a connected world. More information about HP is available at [ http://www.hp.com ].

(1) Based on client results. Two times faster research processing times a" 1.5 days vs. 3 days.
(2) Based on client results.
(3) Based on client results. Fivefold performance increase for large data transfers a" hours vs. days.

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