<div dir="ltr"><div>I don't think there is any mistake: when GPU's are used, OpenMP has the rather marginal role of speeding up some calculations that are not GPU-accelerated</div><div><br></div><div>Paolo<br></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Mon, Aug 2, 2021 at 1:01 AM Takahiro Chiba <<a href="mailto:takahiro_chiba@eis.hokudai.ac.jp">takahiro_chiba@eis.hokudai.ac.jp</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">Dear experienced users,<br>
<br>
I have trouble in utilizing OpenMP with my compilation. From the<br>
output file, pw.x 6.8 recognizes "OMP_NUM_THREADS=2", but it took same<br>
time as "OMP_NUM_THREADS=1", and according to PBS batch queue, only<br>
100% (not 200%) of CPU is used. Therefore, QE 6.8 with GPU is not as<br>
fast as expected.<br>
<br>
I used nvidia HPC SDK 20.9, cuda 10.1, and Intel MKL 2021.2. The node<br>
has two Xeon Gold 6248, one Tesla V100 32GB, and 768GB of RAM.<br>
Benchmark results and make.inc are attached as tarball.<br>
<br>
Could you please point out my mistake?<br>
<br>
---Sender---<br>
Takahiro Chiba<br>
1st-year student at grad. school of chem. sci. and eng., Hokkaido Univ.<br>
Expected graduation date: Mar. 2023<br>
<a href="mailto:takahiro_chiba@eis.hokudai.ac.jp" target="_blank">takahiro_chiba@eis.hokudai.ac.jp</a><br>
-----<br>
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