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<p>Does that mean one can choose to develop code using the petc4py
wrappers without having to sacrifice any performance?</p>
<p>Apologies if this question is too basic, I'm just trying to
understand what I would be sacrificing if I chose to completely
write my application on Python.<br>
</p>
<p>Nidish<br>
</p>
<div class="moz-cite-prefix">On 8/13/20 8:43 PM, Matthew Knepley
wrote:<br>
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cite="mid:CAMYG4GnUa9VG8wuzNKKhbQbL-T1ZpTrhrKoT9iTREob_H6TRbQ@mail.gmail.com">
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<div dir="ltr">On Thu, Aug 13, 2020 at 9:42 PM Nidish <<a
href="mailto:nb25@rice.edu" moz-do-not-send="true">nb25@rice.edu</a>>
wrote:<br>
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<blockquote class="gmail_quote" style="margin:0px 0px 0px
0.8ex;border-left:1px solid
rgb(204,204,204);padding-left:1ex">Hello,<br>
<br>
I'm wondering if any performance studies have been conducted
between <br>
codes written using PETSc on C versus Python implementations
using <br>
PETSc4py. Other than this, I'd really appreciate it if
someone can give <br>
perspectives on the drawbacks/advantages on opting for
either for code <br>
development.<br>
</blockquote>
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<div>No PETSc code is in Python, so there is no difference as
long as you do not call PETSc</div>
<div>function millions of times from Python. It should always
be possible to operate at the right</div>
<div>granularity.</div>
<div><br>
</div>
<div> Thanks,</div>
<div><br>
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<div> Matt</div>
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<blockquote class="gmail_quote" style="margin:0px 0px 0px
0.8ex;border-left:1px solid
rgb(204,204,204);padding-left:1ex">
Thank you,<br>
Nidish<br>
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-- <br>
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<div>What most experimenters take for granted before
they begin their experiments is infinitely more
interesting than any results to which their
experiments lead.<br>
-- Norbert Wiener</div>
<div><br>
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<div><a href="http://www.cse.buffalo.edu/~knepley/"
target="_blank" moz-do-not-send="true">https://www.cse.buffalo.edu/~knepley/</a><br>
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<div class="moz-signature">-- <br>
Nidish</div>
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