Hi Louise-Amelie, Thank you for the post reference, this is exactly what I was looking for. For us for for example when I want to execute a tool that is a Java command the JVM typically will typically use multiple cores as it's running. You said with TORQUE it will crash when there aren't enough resources when the job is submitted. I wonder if you can do the same thing we have done here with LSF? With LSF you can configure a maximum server load for each node and if the submitted jobs push the node load above this threshold (e.g. more cores requested than available) LSF will temporarily suspend jobs (using some kind of heuristics) so that the load stays below the threshold and unsuspend as resources become available. So for us things just will run slower when we cannot pass the requested number of cores to LSF. I would think maybe there is a way with TORQUE to have it achieve the same thing so jobs don't crash when resources requested are more than available? regards, Leandro 2011/5/19 Louise-Amélie Schmitt <louise-amelie.schmitt@embl.de>
Hi,
In a previous message, I explained how I did to multithreads certain jobs, perhaps you can modify the corresponding files for drmaa in a similar way:
On 04/26/2011 11:26 AM, Louise-Amélie Schmitt wrote:
Just one little fix on line 261: 261 if ( len(l) > 1 and l[0] == job_wrapper.tool.id ):
Otherwise it pathetically crashes when non-multithreaded jobs are submitted. Sorry about that.
Regards, L-A
Le mardi 19 avril 2011 à 14:33 +0200, Louise-Amélie Schmitt a écrit :
Hello everyone,
I'm using TORQUE with Galaxy, and we noticed that if a tool is multithreaded, the number of needed cores is not communicated to pbs, leading to job crashes if the required resources are not available when the job is submitted.
Therefore I modified a little the code as follows in lib/galaxy/jobs/runners/pbs.py
256 # define PBS job options 257 attrs.append( dict( name = pbs.ATTR_N, value = str( "%s_%s_% s" % ( job_wrapper.job_id, job_wrapper.tool.id, job_wrapper.user ) ) ) ) 258 mt_file = open('tool-data/multithreading.csv', 'r') 259 for l in mt_file: 260 l = string.split(l) 261 if ( l[0] == job_wrapper.tool.id ): 262 attrs.append( dict( name = pbs.ATTR_l, resource = 'nodes', value = '1:ppn='+str(l[1]) ) ) 263 attrs.append( dict( name = pbs.ATTR_l, resource = 'mem', value = str(l[2]) ) ) 264 break 265 mt_file.close() 266 job_attrs = pbs.new_attropl( len( attrs ) + len( pbs_options ) )
(sorry it didn't come out very well due to line breaking)
The csv file contains a list of the multithreaded tools, each line containing: <tool id>\t<number of threads>\t<memory needed>\n
And it works fine, the jobs wait for their turn properly, but information is duplicated. Perhaps there would be a way to include something similar in galaxy's original code (if it is not already the case, I may not be up-to-date) without duplicating data.
I hope that helps :)
Best regards, L-A
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On 05/19/2011 12:03 PM, Leandro Hermida wrote:
Hi,
When Galaxy is configured to use the DRMAA job runner is there a way for a tool to tell DRMAA the number of cores it would like to request? The equivalent of bsub -n X in LSF where X is min number of cores to have available on node.
best, leandro
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