- Global Experts to Gather at Conference in Park City, Utah, to Discuss the Latest Developments in HPC, Cloud Computing and Big Data
- Second Annual Adaptie Awards Will Honor Outstanding Adaptive Computing Customers
PROVO, Utah — (BUSINESS WIRE) — March 19, 2014 — Adaptive Computing, the company that powers many of the world’s largest private/hybrid cloud and technical computing environments with its Moab optimization and scheduling software, announced today that its annual user conference, Moabcon 2014, will be held March 31 to April 3, 2014, at the Hyatt Escala in Park City, Utah. The theme of the conference is “Accelerate Insights,” and will teach Moab users how to streamline the analysis process, reducing the time to discovery.
Moabcon 2014 brings together Adaptive Computing customers, partners and industry experts for four days of talks, technical sessions and networking events. The conference features keynotes and sessions from Adaptive Computing’s management team as well as presentations from heavyweights within the industry, including:
Speakers
- Partners – HP, Cray and others
- DigitalGlobe (NYSE: DGI) – Jason Bucholtz
- The Dow Chemical Company (NYSE: DOW) – Dave Powers
- National Institute for Computational Sciences, University of Tennessee – Troy Baer
- Sandia National Laboratories – Sue Kelly
- Lawrence Berkeley National Laboratory – Michael Jennings and Jay Botts
Adaptive Computing will also introduce new product enhancements, including its recently unveiled Big Workflow solution that processes intensive simulations and data analysis faster, more accurately and cost effectively by:
- Unifying data center resources – Utilizes all available resources across multiple platforms, environments and locations and manages them all as a single ecosystem that adapts as workload demand changes.
- Optimizing the analysis process – Streamlines the analytical process, increasing throughput and productivity and reducing cost, complexity and errors.
- Guaranteeing services – Allows the data center to ensure SLAs, maximize uptime and prove services were delivered and resources were allocated fairly.
“We are excited to gather with the industry’s foremost experts to explore the evolution of big data analytics, coupled with the collision of cloud and HPC, at this year’s Moabcon,” said Rob Clyde, CEO at Adaptive Computing. “Moabcon has always been a wonderful place to unplug and get creative, and Park City provides a fantastic setting for thinking outside the box and solving the world's complex problems.”
During the conference, Adaptive Computing will honor its customers with the second annual Adaptie Awards. Awards are given to organizations and individuals that continually push the technological envelope using Adaptive Computing’s software. Awards will be given to customers for Best Use of Moab in an HPC Environment, Best Use of Moab in a Big Workflow Environment and Lifetime Achievement.
For more information about MoabCon 2014, visit http://www.adaptivecomputing.com/moabcon-2014/.
To register for the conference, visit http://www.eventbrite.com/e/moabcon-2014-tickets-6564591871.
About Adaptive Computing
Adaptive Computing powers many of the world’s largest private/hybrid cloud and technical computing environments with its award-winning Moab optimization and scheduling software. Moab enables large enterprises in oil and gas, financial, manufacturing, research and government to perform simulations and analyze Big Data faster, more accurately and most cost effectively. Moab gives users a competitive advantage, inspiring them to develop cancer-curing treatments, discover the origins of the universe, lower energy prices, manufacture better products, improve the economic landscape and pursue game-changing endeavors. Adaptive is a pioneer in private/hybrid cloud, technical computing and large-scale scheduling, holding 50+ issued or pending patents. Adaptive’s flagship products include:
Moab Cloud Suite for self-optimizing cloud management
Moab HPC Suite for self-optimizing HPC workload management
For more information, call (801) 717-3700 or visit www.adaptivecomputing.com.
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