Adapt conclusion

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Théophile Bastian 2024-10-03 13:18:02 +02:00
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@ -73,10 +73,12 @@ the advantage of being automatic; our frontend model significantly improves a
backend model's accuracy and our dependencies model significantly improves
\uica{}'s results, while being consistent with a dynamic dependencies analysis.
Evaluating the three models combined as a complete analyzer would have been
most meaningful. However, as we argue in the pre-conclusive chapter
\nameref{chap:wrapping_up}, this is sadly not pragmatic, as tools do not easily
combine without a large amount f engineering.
Finally, in the pre-conclusive chapter \nameref{chap:wrapping_up}, we loosely
combine our three pieces of code analyzer model into a very simple full model,
returning the maximal prediction from the three major bottleneck analyzers.
While this simplistic model would certainly benefit from a more integrated
approach, our results already significantly surpass \llvmmca{}, one of the very
few state-of-the-art tools on ARM processors.
\bigskip{}