LEIPZIG, Germany--(BUSINESS WIRE)--Today at the International Supercomputing Conference (ISC) 2014 in Leipzig, Germany, 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, and Bright Computing, a leading provider of management solutions for clusters and clouds, announced their reseller agreement and a deeper integration of their product sets to enhance provisioning and workflow optimization in technical computing environments.
Building on the existing integration between Moab HPC Suite and Bright Cluster Manager®, Adaptive Computing and Bright Computing together provide enhanced functionality that enables users to dynamically provision HPC clusters based on both resource and workload monitoring. The combined capabilities of Moab and Bright Cluster Manager also create a more optimal solution to managing technical computing and Big Workflow requirements — a solution that accelerates insights by more efficiently processing intense simulations and big data analysis.
“As a company that shares our expertise in HPC, cloud and big data, Bright Computing represents an ideal collaboration partner in furthering our Big Workflow vision,” said Rob Clyde, CEO of Adaptive Computing. “We will continue to innovate with Bright Computing to allow organizations to accelerate insights with greater flexibility while controlling their costs to a higher degree than ever before.”
“We recognized that our customers would greatly benefit from a deeper integration of Adaptive’s and Bright’s systems,” said Dr. Matthijs van Leeuwen, CEO and Founder of Bright Computing. “We look forward to future collaborations that provide greater out-of-the-box integration and automation to streamline the installation process and further optimize technical computing environments to enhance a better workflow.”
Key benefits of the integration include the following:
Intelligent Workload Monitoring. The integration of Bright Computing’s resource monitoring and Adaptive Computing’s workload monitoring capabilities allows users to optimize HPC clusters and improve workload scheduling. For example, in the case of a hardware disruption or node failure, Bright Cluster Manager is alerted and reacts by communicating with Moab to identify availability within the cluster and reroute jobs to other available nodes. This provisioning helps unify cluster resources, ensuring optimal usage and guaranteeing users can efficiently run workloads.
Green and Power Management. Moab leverages Bright Cluster Manager’s green and power management features to enforce power management policies, allowing users to limit power consumption automatically. Through this integration:
- Idle nodes can be identified
- Nodes can be powered as needed
- Based on the policies, these nodes can be placed in a low-power suspend or sleep state, which consumes 10–50 percent of power compared to the active running state
Automated Health Checks. By combining Moab’s intelligent capabilities with Bright Computing’s Cluster Health Management in Bright Cluster Manager, users can now conduct health checks based on resource monitoring and scheduling. With the help of Cluster Health Management, Moab can:
- Identify node problems and take proactive measures
- Leverage a high-availability scenario that ensures a consistent workflow, even with node failures
- Provide an administrator report on the encountered problem and any actions taken by Cluster Health Management, eliminating or reducing administrator time to conduct node investigations
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, and research as well as academic and government to perform simulations and analyze Big Data faster, more accurately and most cost effectively with its Technical Computing, Cloud and Big Data solutions for Big Workflow applications. 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 big data, 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.
NOTE TO EDITORS: If you would like additional information on Adaptive Computing and its products, please visit the Adaptive Computing Newsroom at http://www.adaptivecomputing.com/category/news/. All prices noted are in U.S. dollars and are valid only in the United States.
About Bright Computing
Bright Computing specializes in management software for on-premise HPC, Hadoop, storage, database and workstation clusters, as well as the seamless extension of these clusters into the cloud. Its flagship product — Bright Cluster Manager — with its intuitive graphical user interface and powerful cluster management shell, makes clusters of any size easy to install, use and manage, including systems combining processors with accelerators (e.g., NVIDIA GPUs) or coprocessors (e.g., Intel Xeon Phi). Bright's minimal footprint enables systems to be utilized to their maximum potential, from departmental Hadoop clusters to large-scale supercomputers. Bright Computing partners include Amazon, Cisco, Cray and Dell, while Boeing, ING Bank, NASA, Roche, Saudi Aramco plus Stanford University and Tokyo Institute of Technology are examples of Bright customers. Bright Computing is a Red Herring 2013 Top 100 North America Award winner, the Deloitte Technology Fast50 “Rising Star 2013” Award winner, the Main Software 50 “Highest Growth” Award winner, and Bright Cluster Manager was a "Best of Show Award" winner at Bio-IT World 2013.
Pictures and screenshots of Bright Cluster Manager
http://www.BrightComputing.com/Press-Center
