September 21, 2012
Solutions Architect Robert Stober will demonstrate how tightly coupled Bright Cluster Manager and PBS Professional seamlessly extend HPC clusters into the cloud
SAN JOSE, Calif., Sept. 21 — Bright Computing, the leading independent provider of cluster management software, announced it will present its data aware cloud bursting solution at the PBS Works User Group meeting in San Jose, California. Robert Stober, Bright Computing senior solutions architect, will show how to extend on-premise clusters into the cloud, and manage these resources as part of the local cluster. He will also demonstrate Bright's unique data aware scheduling capability for the cloud, eliminating the need to manually manage data movement. The combined Bright Cluster Manager and PBS Professional workload manager deliver a seamless, intuitive solution for provisioning, scheduling, monitoring and managing the extended cluster and data within one intuitive GUI, or cluster management shell, on-premise or in the cloud.
"Bright Cluster Manager is delivered with PBS Professional as a pre-configured, sys admin-selectable option," said Stober. "Bright's integration of PBS Professional, and other workload managers, helps customers get the most productivity from clusters, whether on premise or in the cloud."
When the system administrator selects PBS Professional as the workload manager of choice, Bright automatically installs and configures the software. Bright continually updates configurations throughout the life of the cluster. The system administrator can then take full advantage of the workload manager's capabilities using the Bright GUI or cluster management shell, without the need to learn additional commands or procedures. Further, PBS Professional can be managed via Bright's SOAP API. Both Bright Cluster Manager and PBS Professional can be extended into the cloud to provide additional capacity, with just a few mouse clicks within the Bright GUI.
The tight integration of Bright's health checking capabilities with PBS Professional also provides protection against the "Black Hole Node Syndrome," when normally undetected node issues cause job crashes, sometimes extending to full job queue flushes. Working closely with the workload manager, Bright's pre-job health checks detect problems before nodes actually fail, and then sidelines these nodes before the job is started.
As another means of maintaining high throughput, Bright Cluster Manager's automatic failover capability also manages the seamless failover of the workload manager, preventing head node crashes from interrupting productivity.
Robert Stober's presentation is at 10:00 am on Tuesday, October 2nd. Also presenting at the conference is Jim Glidewell from Boeing, a joint Bright-PBS Professional user; experts from Idaho National Lab, Nissan, Clemson University, FNMOC, NASA, and the host, Altair Engineering.
About the PBS Works User Group
PBSUG is a two-day event for PBS Works customers and partners, bringing together HPC thought leaders who focus on unique challenges facing businesses today. The event takes place October 1-2 in San Jose, California. For more information and to register, visit the event site.
Source: Bright Computing
10/30/2013 | Cray, DDN, Mellanox, NetApp, ScaleMP, Supermicro, Xyratex | Creating data is easy… the challenge is getting it to the right place to make use of it. This paper discusses fresh solutions that can directly increase I/O efficiency, and the applications of these solutions to current, and new technology infrastructures.
10/01/2013 | IBM | A new trend is developing in the HPC space that is also affecting enterprise computing productivity with the arrival of “ultra-dense” hyper-scale servers.
Ken Claffey, SVP and General Manager at Xyratex, presents ClusterStor at the Vendor Showdown at ISC13 in Leipzig, Germany.
Join HPCwire Editor Nicole Hemsoth and Dr. David Bader from Georgia Tech as they take center stage on opening night at Atlanta's first Big Data Kick Off Week, filmed in front of a live audience. Nicole and David look at the evolution of HPC, today's big data challenges, discuss real world solutions, and reveal their predictions. Exactly what does the future holds for HPC?