[Darshan-users] getting plots
Phil Carns
carns at mcs.anl.gov
Tue Mar 15 12:48:42 CDT 2016
One thing that you can do (not sure if would be helpful in this case) is
filter a Darshan log file down so that it only includes instrumentation
data for a single file, and then run darshan-job-summary.pl on just that
one file view. If you wanted to try that, you can do the following:
$ darshan-parser --file-list
loring_oscillator_id1336628_3-14-37278-8825292184016672560_1.darshan
|head -n 75
# I'm just picking a file at random from the output, but this example is
for
# /global/cscratch1/sd/loring/sensei/fpp/10k/PosthocIO_5.vtmb
# so I'm using it's corresponding hash value. The following command
will write a new darshan log file that strips
# away everything except for that one file:
$ darshan-convert --file 13503923528039498363
loring_oscillator_id1336628_3-14-37278-8825292184016672560_1.darshan
onefile.darshan
$ darshan-job-summary.pl onefile.darshan
The resulting pdf is generated instantaneously and is easy to open, but
it doesn't tell you anything about the I/O at all except what happened
to that one file. It might be helpful for some cases, though.
You can also use the following to get a text dump of the cumulative
statistics across all files (which also runs pretty quickly):
darshan-parser --total
loring_oscillator_id1336628_3-14-37278-8825292184016672560_1.darshan
Unfortunately that output is presented in text format instead of
producing another darshan log that could then be visualized with
darshan-job-summary.pl, but maybe that is something we could consider in
a future version.
thanks,
-Phil
On 03/15/2016 11:18 AM, Burlen Loring wrote:
> I let darshan job summary run all night, still going but no indication
> of progress.
>
> This is my first experience with darshan, let me ask a naive question:
> is it possible to extract time series for a single process? write
> bandwidth over time for instance? and time for file open (or close) vs time?
>
> Thanks for all your help
> Burlen
>
> On 03/14/2016 09:53 PM, Burlen Loring wrote:
>> Yes, you are correct, it's file per process on 6496 processes, and the
>> simulation runs for 100 time steps, plus there are some header files
>> and directories created (I think by rank 0). It doesn't seem like too
>> extreme of a case to me. We will also run 50k cores for 100 time
>> steps. It sounds like darshan can't analyze this type of i/o, but
>> please let me know if you have any ideas!
>>
>> On the size discrepancy. My fault. Darshan had the size correct. I was
>> looking at the wrong output file, 200G is the size of the smaller run
>> (812 procs). I apologize that I didn't notice that sooner!
>>
>> On 03/14/2016 08:55 PM, Shane Snyder wrote:
>>> Maybe the reason the job summary graphs are hanging might be due to
>>> the number of files the application is opening? It looks like there
>>> are over 500,000 files (100 each for 6,496 processes). I haven't
>>> tried generating graphs for any logs that large myself, but that
>>> might be beyond what the graphing utilities can realistically handle.
>>> It takes forever for me to even parse the logs in text form.
>>>
>>> As for the discrepancy in size, that may just be due to what the 'du'
>>> utility is actually reporting. 'du' measures the size of a given file
>>> based on the underlying file system block size. If the file is 1
>>> byte, and the block size is 1 MiB, the file is reported as 1 MiB.
>>> Additionally, if you run 'du' on a directory containing numerous
>>> subdirectories (as you have, 100 subdirectories), it counts the sizes
>>> of the directories as well. Darshan will only report the I/O observed
>>> at the application level, so it does not account for file system
>>> blocks or directories. You can use 'du -b' to show the "actual"
>>> (i.e., not rounded up to block sizes) of individual files, though it
>>> still counts subdirectory sizes when determining the size of a given
>>> directory. If you do that, is it closer to what Darshan reports?
>>>
>>> --Shane
>>>
>>> On 03/14/2016 06:44 PM, Burlen Loring wrote:
>>>> sure, here is the link
>>>> https://drive.google.com/open?id=0B3y5yyus32lveHljWkExal9TVmM
>>>>
>>>> On 03/14/2016 03:56 PM, Shane Snyder wrote:
>>>>> Hi Burlen,
>>>>>
>>>>> Would you mind sharing your Darshan log with us? If you prefer, you
>>>>> can send it to me off-list, or if it contains sensitive information
>>>>> we can give you details on how to anonymize parts of it (e.g., file
>>>>> names, etc.).
>>>>>
>>>>> I don't know for sure what the historical reason the "(may be
>>>>> incorrect)" caveat is given with the total bytes read and written.
>>>>> Someone correct me if I'm wrong, but I suspect that is to warn
>>>>> against the possibility that the code actually wrote/read more data
>>>>> than expected from the application's point of view? For instance,
>>>>> an I/O optimization called data sieving is possible at the MPI-IO
>>>>> layer which results in more data being read than expected from the
>>>>> application's point of view to improve performance. That shouldn't
>>>>> account for the drastic discrepancy you are seeing, though, so
>>>>> perhaps something else is up.
>>>>>
>>>>> Thanks,
>>>>> --Shane
>>>>>
>>>>> On 03/14/2016 05:29 PM, Burlen Loring wrote:
>>>>>> Hi, I'd like to analyze our runs with darshan. I'm able to get the
>>>>>> log files, but so far no luck plotting them.
>>>>>>
>>>>>> In the terminal after a while I see the following output, but then
>>>>>> the program appears to hang. After ~20 min of no output and no
>>>>>> evidence of it running in top, I killed it, and I didn't see any
>>>>>> newly created files.
>>>>>>
>>>>>> I'm also wondering about the total bytes report and warning that
>>>>>> it may be wrong. it does indeed seem way off, du reports 1.6T, but
>>>>>> darshan only reports ~200G.
>>>>>>
>>>>>> Please, let me know what I did wrong! and if I should I be
>>>>>> concerned about the numbers being so far off.
>>>>>>
>>>>>> Thanks
>>>>>> Burlen
>>>>>>
>>>>>> $/work/apps/darshan/3.0.0-pre/bin/darshan-job-summary.pl
>>>>>> loring_oscillator_id1336621_3-14-37256-5315836542621785504_1.darshan
>>>>>> Slowest unique file time: 25.579892
>>>>>> Slowest shared file time: 0
>>>>>> Total bytes read and written by app (may be incorrect): 214218545937
>>>>>> Total absolute I/O time: 25.579892
>>>>>> **NOTE: above shared and unique file times calculated using MPI-IO
>>>>>> timers if MPI-IO interface used on a given file, POSIX timers
>>>>>> otherwise.
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