November 2008

In This Issue

» Events
» Cluster Resources NEWS
» Software Updates and Releases: TORQUE 2.3.5
» Did You Know: Job Priority Factors
» Online Training Sessions
» FAQs
» Contact Us

Events

SC'08

Cluster Resources would like to thank everyone who stopped by our booth at Supercomputing in Austin, Texas, last week. We'll see you next year at SC'09 in Portland, Oregon!

Daresbury Machine Evaluation Workshop

Cluster Resources will be exhibiting at the 19th annual Daresbury Machine Evaluation Workshop December 2 and 3, at the Holiday Inn in Runcorn, England. To register for the event go to http://conf.dl.ac.uk/register.asp?eventID=155.

Moab-Con 2009

Save the date! Moab-Con 2009 will be held in Provo, Utah, June 16-19, 2009. Registration information will be available soon.

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Cluster Resources NEWS

Cluster Resources a Key Player on Team Behind World's Fastest Open Science Supercomputer at DOE's Oak Ridge National Laboratory
Press Release

Cluster Resources Delivers Moab for Cluster Management Utility Software with HP
Press Release

Rocks+Moab Chosen as Standard Cluster Management Tool on New Silicon Mechanics Cluster Configurator
Press Release

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Latest Version of TORQUE Now Available for Download

TORQUE 2.3.5 has been officially released. This release fixes a regression in TORQUE 2.3.4 pertaining to the libtorque.so version number. The version is now restored to libtorque.so.2.

Here is a summary of changes:

c - crash     b - bug fix    e - enhancement    f - new feature

e - added new init.d scripts for Debian/Ubuntu systems
b - fixed regression in 2.3.4 release which incorrectly changed soname
for libtorque

We recommend using this new version instead of TORQUE 2.3.4.

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Did You Know: Job Priority Factors

Did you know that Moab has the most flexible job priority settings available?

Moab allows jobs to be prioritized based on a range of job-related factors, including credential, fairshare, resource, service, target service, usage, and job attribute. For example, factors that would give a job a higher priority include the length of time a job is in the queue, the type of application being requested, or the size of the job. These factors are broken down into a two-tier hierarchy of priority factors and subfactors, each of which can be independently assigned a weight. This approach provides the administrator with detailed yet straightforward control of the job-selection process.

Each factor and subfactor can be configured with independent priority weight and priority cap values. In addition, per-credential and per-QoS priority weight adjustments may be specified for a subset of the priority factors. For example, QoS credentials can adjust the queuetime subfactor weight, and group credentials can adjust fairshare subfactor weight.

For more information go here

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Online Training Sessions

Cluster Resources provides live interactive demonstrations to show how easily you can evaluate Moab. These demonstrations go into detail about the tools that make the evaluation simple and effective.

Part 1 of the training covers the use of Moab in a cluster environment, as well as the following areas: Moab architecture, installation, diagnostics and troubleshooting, admin tools, end user tools, and testing modes.

Part 2 of the training details Moab in a grid environment, including information on grid autonomy, credential remapping, and other grid-specific capabilities.

Part 1: Clusters
U.S. Time Zones
--Wed., December 10, 2008 1:00 PM - 2:00 PM Eastern

Part 2: Grid
U.S. Time Zones
--Thurs., December 11, 2008 1:00 PM - 2:00 PM Eastern

If these times do not work for you, please contact us at eval-support@clusterresources.com to schedule a demonstration outside the listed times. EMEA training sessions are added periodically.

To register for training sessions, go here

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Frequently Asked Questions

Cluster Resources has a Moab Evaluation Product FAQ page located here.

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Contact Us

Please send your comments and questions about products, product feedback, tech support, consulting, or custom development to info@adaptivecomputing.com or call us at +1 801-717-3700.

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