Adaptive Computing and Bright Computing Deepen Product Integration to Enhance Provisioning and Workflow Optimization in Technical Computing Environments
HPC Today  |  Wire  |  June 25, 2014
Note: the wired news below has been filtered but not edited by HPC Today.

Adaptive Computing and Bright Computing Deepen Product Integration to Enhance Provisioning and Workflow Optimization in Technical Computing Environments

Integration Advancement Combines Capabilities of Moab HPC Suite and Bright Cluster Manager to Offer Customers Improved Intelligent Workload Monitoring, Green and Power Management and Automated Health Checks

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 and Bright Computing’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 with a report on the encountered problem and any actions taken by Cluster Health Management, eliminating or reducing administrator time to conduct node investigations

Source: Bright Computing

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