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Commit 573fed7b2e0d authored by Pierre Augier's avatar Pierre Augier
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tree/reply-zwart2020 and Domain Specific Language

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properly measure the energy consumption with dedicated hardware equipped with
wattmeters[^2].
[^1]: Our code is available here: <https://github.com/paugier/nbabel/releases/tag/reply-zwart2020>.
[^1]: Our code is available here: <https://github.com/paugier/nbabel/tree/reply-zwart2020>.
[^2]: The measurements were carried out on Grid'5000 clusters
(<https://www.grid5000.fr>).
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realize that this inefficiency of the interpreter has a weak effect on the
overall performance of most programs. Total elapsed time and energy consumption
are often dominated by computations done in optimized libraries. The Numpy
language and implementation \cite{harris2020array} were designed to described
Domain Specific Language \cite{harris2020array} was designed to described
algorithms with high-level code to avoid too frequent interactions with the
......@@ -84,5 +84,5 @@
algorithms with high-level code to avoid too frequent interactions with the
interpreters.
interpreter.
In many cases, very few lines of code dominate the total computation. It is
usually known as the 80/20 rule and provides support for two software
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