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Revision as of 15:27, 13 February 2018 by Whomps (talk | contribs) (Hardware Limitations)
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Ada/LSF Job Tracking Techniques


The information on this page will help you understand the LSF scheduling behavior on Ada, but will not tell you when your job will run. Scheduling is a complex task. There are many factors that contribute to whether a job will exit the queue next. These next few sections will cover common bottlenecks users encounter, but should not be considered a comprehensive guide.

After reviewing the following sections, you should be able to estimate whether your job will start running quickly or if you should expect to wait.

Hardware Limitations

Ada is composed mostly of 20 core + 64GB nodes. There is a small set of 20 core + 256GB nodes. Mixed between these two sets are some GPU and PHI nodes.

The compute node hardware details can be seen at: Ada Hardware Summary.

The compute node batch job memory limitations can be seen at: Ada Memory Specification Clarification.

Typical Job Requests

Many users request 1 or 20 cores

Batch Queue Structure

Review the batch queue

Job Priority

View priority