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Grid Engine is a full function, general purpose Distributed Resource Management (DRM) tool. The scheduler
component in Grid Engine supports a wide range of different compute farm scenarios. To get the maximum
performance from your compute environment it can be worthwhile to review which features are enabled
and which are really needed to solve your load management problem. Disabling/Enabling these features
can have a performance benefit on the throughput of your cluster. Each feature contains in parentheses
when it was introduced. If not otherwise stated, it is available in higher versions as well.
Experience has shown utilization of NFS or similar shared file systems for
distributing files required by Grid Engine can have a critical share in both
overall network load and file server load. Thus keeping such files locally is
always beneficially for overall cluster throughput. See
Optimizing usage of NFS in Grid
scheduler monitoring See also sge_execd - Sun Grid Engine job execution agent
Scheduler monitoring can be helpful to find out the reason why certain jobs are not dispatched
providing this information for all jobs at any time can be resource consuming (memory and cpu time)
and is usually not needed. To disable scheduler monitoring set schedd_job_info to false
in scheduler configuration sched_conf(5).
In case of array jobs the finished job list in qmaster
can become quite big. Switching it off will save memory and speed up qstat commands because
qstat also fetches the finished jobs list. Set finished_jobs to 0 in global
configuration. See sge_conf(5).
Forcing validation at job submission time can be a valuable
tool to prevent non-dispatchable jobs from remaining in pending state foreever. However, It can
be a time consuming job to validate jobs, especially in heterogeneous environments with a variety
of different execution nodes and consumable resources and where every user has his own job profile.
In homogeneous environments with only a couple of different jobs, a general job validation usually
can be omitted. Job verification is disabled per default and should only be used (qsub(1):
-w [v|e|w]) when needed. [It is enables by default with DRMAA]
Load thresholds are needed if you deliberately oversubscribe your machines, and you need a mechanism to prevent excessive system load. Suspend thresholds are also used for this. The other case in which load thresholds are needed is when the execution node is open for interactive load which is not under control of Grid Engine, and you want to prevent the node from being overloaded. If a compute farm is more single-purpose, e. g., each CPU at a compute node is represented by only one queue slot, and no interactive load is expected at these nodes, then load_thresholds can be omitted. To disable both thresholds set load_thresholds to none and suspend_thresholds to none. See queue_conf(5).
Load adjustments are used to virtually increase the measured load after a job has been dispached. This mechanism is helpful in the case of oversubscribed machines in order to align with load thresholds. Load adjustments should be switched off if they are not needed, because they impose on the scheduler some additional work in connection sorting hosts and load thresholds verification. To disable load adjustments set job_load_adjustments to none and load_adjustment_decay_time to 0 in the scheduler configuration. See sched_conf(5).
The default for Grid Engine is to start scheduling runs in a fixed scheduling interval (see schedule_interval in schedd_conf(5)). The good thing with fixed intervals is that they limit the cpu time consumption of the qmaster/scheduler. The bad thing is that they throttle the scheduler artificially, resulting in a limited throughput. In many compute farms there are machines specifically dedicated to qmaster/scheduler and in such setups there is no reason for throttling the scheduler. How many seconds one should use for flush times is difficult to say. It depends on the time the scheduler needs for a single run and the number of jobs in the system. A couple test runs with the scheduler profiling (Add profile=1 to the params in the schedd_conf(5).) should give one enough data to select a good value.
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Grid Engine Configuration Recipes by Dave Love
Reducing and Eliminating NFS usage by Grid Engine
Sun Grid Engine Tuning guide -- short and outdated notes
Grid Engine Tuning guide
Grid Engine Profiling HOWTO
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Grid Engine, Infiniband and general tuning tips - OpenEye HiveMind
Grid Engine, Infiniband and general tuning tips? - OpenEye ... hivemind.eyesopen.com/questions/...infiniband-and-general-tuning-tips infiniband ◊1 sge ◊1 tuning ◊1. Asked: Jul 02 at 10:19. Seen: 188 times. Last updated: Jul 02 at 10:19 Related questions. about | faq | privacy | support | contact.
Discussion list for users of Grid Engine - Gmane comments.gmane.org/gmane.comp.clustering.gridengine.users/22457 We did a bunch of SGE tuning but still had the random occasional failures very close to what you describe.
Ubuntu Manpage: sge_conf - Sun Grid Engine configuration files manpages.ubuntu.com/manpages/natty/man5/sge_conf.5.html ... at a well known location in the Sun Grid Engine internal directory ... Changing the global execd_spool_dir parameter set at installation ...
Discussion list for users of Grid Engine - Gmane comments.gmane.org/gmane.comp.clustering.gridengine.users/20753 ... [1084:4222]: execvp(/var/spool/sge/default/spool/n3 ... No such file or directory > > SGE is able to grab ... Discussion list for users of Grid Engine. Search ...
Install and Configure Sun Grid Engine (SGE) Job Scheduler ... rgrid.blog.com/...software-tools/...sun-grid-engine-sge-job-scheduler
Sun Grid Engine is an open source ... The qmaster spool directory is the ... A notification about the chosen configurations in case you need to change something ...
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