High-Memory Queues

Details on Jobs that Produced a Warning

As of Mon Dec 15 13:44:52 EST 2025
   jobID.tID  jobName         user           queue  - mem_res  max(vmem) -   vmem     avgmem   cpu    age    eff. nslots
------------------------------------------------------------------------------------------------------------------------
11481231.243  AssembleBarcode breusingc      mThM.q - 256.0G >  213.639G -   0.378G 211.410G  33.0h   3.0d   2.8%    16/mthread
11481232.26   metaspades      breusingc      mThM.q -   0.0G <<   2.916G -   2.916G   2.835G  95.5d   6.0d  99.6%    16/mthread
11481232.53   metaspades      breusingc      mThM.q -   0.0G <<   5.448G -   5.448G   5.366G  91.4d   5.8d  99.3%    16/mthread
11481232.62   metaspades      breusingc      mThM.q -   0.0G <<   2.916G -   2.916G   2.835G  90.1d   5.7d  99.4%    16/mthread
11481232.80   metaspades      breusingc      mThM.q -   0.0G <<   5.448G -   5.448G   5.366G  85.0d   5.3d  99.3%    16/mthread
11481232.82   metaspades      breusingc      mThM.q -   0.0G <<   5.448G -   5.448G   5.366G  83.9d   5.3d  99.6%    16/mthread
11481232.87   metaspades      breusingc      mThM.q -   0.0G <<   4.666G -   4.666G   4.584G  81.9d   5.2d  99.2%    16/mthread
11481232.107  metaspades      breusingc      mThM.q -   0.0G <<  22.733G -  12.479G  12.191G   5.0d   4.8d   6.6%    16/mthread
11481232.108  metaspades      breusingc      mThM.q -   0.0G <<   5.698G -   5.698G   5.616G  75.8d   4.8d  99.4%    16/mthread
11481232.133  metaspades      breusingc      mThM.q -   0.0G <<   1.651G -   1.651G   1.570G  70.0d   4.4d  99.6%    16/mthread
11481232.135  metaspades      breusingc      mThM.q -   0.0G <<   3.166G -   3.166G   3.085G  69.6d   4.4d  99.3%    16/mthread
11481232.142  metaspades      breusingc      mThM.q -   0.0G <<   5.448G -   5.448G   5.365G  68.0d   4.3d  99.6%    16/mthread
11481232.157  metaspades      breusingc      mThM.q -   0.0G <<   5.698G -   5.698G   5.616G  62.7d   3.9d  99.5%    16/mthread
11481232.175  metaspades      breusingc      mThM.q -   0.0G <<   2.916G -   2.916G   2.835G  54.2d   3.4d  99.6%    16/mthread
11481232.178  metaspades      breusingc      mThM.q -   0.0G <<   5.698G -   5.698G   5.612G  52.6d   3.3d  99.4%    16/mthread
11481232.183  metaspades      breusingc      mThM.q -   0.0G <<   2.916G -   2.916G   2.835G  49.8d   3.1d  99.6%    16/mthread
11481232.188  metaspades      breusingc      mThM.q -   0.0G <<   5.448G -   5.448G   5.361G  45.4d   2.8d  99.5%    16/mthread
11481232.207  metaspades      breusingc      mThM.q -   0.0G <<   3.651G -   3.651G   3.568G  27.9d   1.8d  99.3%    16/mthread
11481232.227  metaspades      breusingc      mThM.q -   0.0G << 328.995G - 328.995G  84.231G   6.3d  17.0h  56.1%    16/mthread
11481232.230  metaspades      breusingc      mThM.q -   0.0G <<  59.123G -  51.635G  40.733G   8.5d  13.3h  96.5%    16/mthread
11481232.233  metaspades      breusingc      mThM.q -   0.0G <<  30.542G -  19.252G  12.957G  13.3h   0.9h  94.2%    16/mthread
11732521.2    repeatModelClas medeirosi      mThM.q - 120.0G >>   1.587G -   0.591G   0.273G   7.0d   3.9d  45.2%     4/mthread
11732521.19   repeatModelClas medeirosi      mThM.q - 120.0G >>   1.619G -   0.551G   0.290G  11.4d   3.9d  73.3%     4/mthread
11732521.22   repeatModelClas medeirosi      mThM.q - 120.0G >>   1.752G -   0.609G   0.296G  11.6d   3.9d  75.3%     4/mthread
11732521.25   repeatModelClas medeirosi      mThM.q - 120.0G >>   1.951G -   0.618G   0.306G  10.0d   3.9d  64.8%     4/mthread
11766595.1    spades_array.jo collinsa       mThM.q - 400.0G >>   2.637G -   2.160G   2.068G  18.3d   1.2d  99.5%    16/mthread
11766595.2    spades_array.jo collinsa       mThM.q - 400.0G >>   2.410G -   1.910G   1.824G  18.3d   1.2d  99.5%    16/mthread
11766595.4    spades_array.jo collinsa       mThM.q - 400.0G >>   1.660G -   1.660G   1.570G  18.3d   1.2d  99.6%    16/mthread
11766595.5    spades_array.jo collinsa       mThM.q - 400.0G >>   5.676G -   5.676G   5.572G  18.3d   1.2d  99.3%    16/mthread
11766595.6    spades_array.jo collinsa       mThM.q - 400.0G >>   6.207G -   6.207G   6.090G  18.3d   1.2d  99.3%    16/mthread
11766595.10   spades_array.jo collinsa       mThM.q - 400.0G >>   4.676G -   2.926G   2.896G  18.3d   1.2d  99.3%    16/mthread
11766595.13   spades_array.jo collinsa       mThM.q - 400.0G >>  10.769G -  10.769G  10.654G  18.2d   1.2d  99.1%    16/mthread
11766595.21   spades_array.jo collinsa       mThM.q - 400.0G >>   6.957G -   6.957G   6.858G  17.9d   1.1d  99.2%    16/mthread
11766504.1    sortmerna       bourkeb        mThM.q - 256.0G >>  10.188G -   6.750G   6.623G   5.8d   1.4d  53.9%     8/mthread
11769355.1    ribodetector    bourkeb        mThM.q - 256.0G >> 183.193G - 182.562G  17.874G   2.6d   8.5h  91.6%     8/mthread
11043155.1    Delphinidae_IQT mcgowenm       lThM.q - 900.0G >>  59.526G -  59.526G  35.917G  31.1d  31.2d  16.6%     6/mthread
11769557.1    AA80            uribeje        lThM.q - 200.0G >>   8.683G -   8.446G   8.488G   8.6h   2.9h  29.9%    10/mthread
11757123.1    raxml_hmem      coellogarrid   lThM.q - 120.0G >>  17.094G -  16.873G  16.827G 118.6d   3.0d  99.3%    40/mthread
11710203.1    USVI            byerlyp        lThM.q -  10.0G >>   0.987G -   0.921G   0.686G   4.1d   4.2d  33.2%     3/mthread
11730444.1    raxml_hmem      coellogarrid   lThM.q - 120.0G >>  46.900G -  46.900G  46.768G 154.7d   3.9d  99.3%    40/mthread
11049129.1    xvcf2           uribeje        uThM.q - 400.0G >> 207.762G - 206.187G 140.088G  91.2d  23.0d  49.5%     8/mthread
11049128.1    xvcf2           uribeje        uThM.q - 400.0G >> 121.582G - 120.953G  92.120G  73.3d  23.0d  39.8%     8/mthread

A warning is generated if either: • too much or too little memory is reserved: mem_res versus max(vmem); or • the job efficiency is too low or is too high. Click on the link under the jobID.tID heading to view the job's corresponding graph.


The quantity mem_res is the amount of memory reserved for the job, while max(vmem) is the maximum amount of memory a job has used (so far); to optimize the cluster's memory usage, these two numbers should be similar.


The job efficiency, eff., is the amount of CPU used so far divided by the product of the age by the number of slots. • A low efficiency means that the job is not using all the allocated CPUs (slots); • a value above 100% means that the job is using more CPUs cycles (threads) than the requested number of slots (nslots).

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