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<p class="MsoNormal"><span style="font-size:11.0pt;color:black">Hi,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black">I used Darshan to do some profiling work when training Deep Learning models on ThetaGPU (Resnet50 on ImageNet, mini-batch size is 32).</span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black">When I used the following command to get the summary of darshan logs:</span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt;font-family:"DengXian Light";color:red">darshan-job-summary.pl</span></b><span style="font-size:11.0pt;font-family:"DengXian Light";color:red"> </span><span style="font-size:11.0pt;font-family:"DengXian Light";color:black">/path/to/.darshan
--output /path/to/summary.pdf</span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black">The received summary.pdf file contains the following Error message at the firs page:</span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt;font-family:"DengXian Light";color:red">WARNING</span></b><span style="font-size:11.0pt;font-family:"DengXian Light";color:black">: This Darshan log contains incomplete data. This happens when a module runs
out of memory to store new record data. Please run darshan-parser on the log file for more information.</span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black">I also tried to use darshan-parser by the following command:</span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt;font-family:"DengXian Light";color:red">darshan-parser</span></b><span style="font-size:11.0pt;font-family:"DengXian Light";color:red"> </span><span style="font-size:11.0pt;font-family:"DengXian Light";color:black">/path/to/.darshan
--output /path/to/summary.txt</span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black">It also shows incomplete data error:</span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt;font-family:"DengXian Light";color:red">*ERROR*:</span></b><span style="font-size:11.0pt;font-family:"DengXian Light";color:red"> </span><span style="font-size:11.0pt;font-family:"DengXian Light";color:black">The
POSIX module contains incomplete data! This happens when a module runs out of memory to store new record data.</span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black">The ImageNet dataset contains about 1.3 million image files, but the darshan log only shows the number of opened files is: 14792 when I trained Resnet50 on ThetaGPU with 2 nodes, 16 GPUs. (<b>Please
check the attached file for more information about the logs obtained by darshan</b>).</span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black">Is there an efficient way to make the darshan logs contain all the I/O information of 1.3 million image files during the model training?</span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black"> </span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black">Previously, I contacted with the Support Team, their response is “the POSIX module only tracks 1024 files, once we open 1025 files Darshan no longer tracks those files”. How to make the POSIX module
track all the images files. </span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black"> </span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black">For the model training on ThetaGPU using 2 nodes and 16 GPUs. My experimental results show that every process handles 14792/16 = 924 images files on average, actually, this number is less than
1024. How to explain it? </span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black"> </span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black">Thanks for your help.</span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black"> </span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black">Best regards,</span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black">--</span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black">Jie Liu</span><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
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