Bright Cluster Manager 5.2 Shipping with Support for CUDA 4, ScaleMP, LSF, SLURM, Enhanced Multi-c

Bright Cluster Manager 5.2 comprises multiple new features and extended capabilities spanning NVIDIA GPUs, multi-cluster management, SMP, SOAP, SLURM, LSF, RHEL 6 and other Linux distributions.
Bright web-based user portal
Bright web-based user portal
June 22, 2011 - PRLog -- San Jose, California — Bright Computing, a leader in cluster management software, today announced that the company is now shipping Bright Cluster Manager® release 5.2. This latest version of the product includes multiple new features and a broad range of expanded capabilities for managing HPC clusters. These capabilities include enhanced multi-cluster support, full CUDA 4.0 support for NVIDIA GPUs, tightly integrated support for on-demand SMP, additional options for integrated workload management, support for the latest releases of Linux distributions, cluster reliability improvement and an enhanced web-based user portal.

Bright Cluster Manager continues to lead the industry in both removing complexity from cluster management and in providing advanced capabilities for improving operating efficiencies. For example, Bright Computing has enhanced its unique multi-cluster support beyond its ability to easily monitor and manage multiple clusters from a single GUI or CLI. Bright Cluster Manager 5.2 enables any cluster settings, including monitoring rules, health checks, user information and access roles, to be exported from one cluster to one or more other clusters. This new feature greatly reduces the complexity of managing multiple clusters and delivers operational efficiencies in geographically distributed data centers.

Other enhancements include:

•   Full CUDA 4.0 support, with the ability to monitor the full extended range of GPU metrics and visualize them within the Bright Cluster Manager GUI. System administrators benefit from maximum visibility and manageability of GPUs, quickly and easily, as part of the overall system management, radically reducing the time and effort required to get the most productivity from the cluster.

•   The addition of SLURM and LSF™ as integrated workload management options, extending the previous choices of PBS Professional®, Torque/Moab®, Torque/Maui, Grid Engine. This integration brings substantial benefits, including automated workload manager installation and configuration, and robust workload manager failover. This integration also enables pre-job health checking, the only way to prevent the job-crashing “black hole node syndrome.”

•   Expansion of Bright’s cluster health management framework with an extended range of user-selectable early-warning and intervention capabilities for any metric within the cluster.

•   A customizable web-based, user portal separate from the admin GUI. This portal provides users with a dashboard-style overview of the status of the cluster and of their own usage of the cluster. Users can easily visualize a wide range of cluster metrics using configurable graphs. Furthermore, users have a clear overview of workload management information such as job queues.

•   A Python interface to the cluster management SOAP API, making all cluster management functionality, as well as all cluster management configuration and monitoring data, accessible in Python scripts. C++ and PHP interfaces were already available. The interface to the SOAP API greatly improves the ease and ability to script and automate operations, as well as inter-operate with third-party software.

•   Seamless integration of ScaleMP’s vSMP Foundation™ into Bright Cluster Manager. This capability enables a user to dynamically aggregate multiple cluster nodes into a single virtual SMP node with just a few mouse clicks. This virtual SMP node is then provisioned, monitored and managed as part of the overall cluster. This capability not only delivers incredible flexibility to clusters needed to drive occasional applications optimized for SMP, it also offers significant hardware efficiencies and cost savings.

•   Support for the latest Linux distributions, including Red Hat Enterprise Linux 6, CentOS 6 (coming), Scientific Linux 6 and SUSE Linux Enterprise 11 SP1. Previous Linux distributions, such as releases 4 and 5 are also available and supported.

•   The inclusion of several dozen customer-driven enhancements, spanning head node failover, provisioning, user administration, cluster monitoring and management. These enhancements, including several suggested by TOP500 system administrators, improve overall cluster performance, reliability and manageability.

“Bright Cluster Manager 5.2 is the latest milestone in our continued leadership of cluster management innovation, anticipating and delivering on the evolving needs of our customers and partners,” said Martijn de Vries, CTO of Bright Computing. “We’ve enjoyed an enthusiastic response from our customers who are using our new release. Our partners have already won some major Bright deals as a direct result of the new features, including the recently announced TOP500 system at the University of Bordeaux.”


Bright Cluster Manager is a trademark of Bright Computing, Inc. All other trademarks are property of their respective owners.

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About Bright Computing
Bright Computing is a specialist in cluster management software for high-performance computing (HPC). 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. Bright's minimal footprint enables HPC systems to be utilized to their maximum potential, from departmental clusters to large-scale systems. Bright Cluster Manager is the management solution of choice for many research institutes, universities, and companies across the world, including several TOP500 installations. Bright Cluster Manager is certified as Intel® Cluster Ready. Bright Computing has its headquarters in San Jose, Californi
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Tags:Hpc, High-performance Computing, Cluster Management, Linux Clusters, Gpu Clusters, GPGPU Clusters, Supercomputing, Rhel
Industry:Computers, Software, Technology
Location:San Jose - California - United States
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