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+title = "Equality saturation"
+author = "Yann Herklotz"
+tags = []
+categories = []
+backlinks = ["2e1c"]
+forwardlinks = ["2e1e", "2e1d1"]
+zettelid = "2e1d"
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+
+Often, ordering of optimisations is difficult, as they can produce
+different results, and one sometimes doesn't know beforehand which order
+will produce better results. Equality saturation \[1\] instead enriches
+the program with equivalent versions of it, which can then be later used
+to optimise different areas of it with different equal representations.
+This is performed for each optimisation, thereby enriching the tree and
+saturating it with equalities.
+
+<div id="refs" class="references csl-bib-body" markdown="1">
+
+<div id="ref-tate09_equal_satur" class="csl-entry" markdown="1">
+
+<span class="csl-left-margin">\[1\]
+</span><span class="csl-right-inline">R. Tate, M. Stepp, Z. Tatlock, and
+S. Lerner, “Equality saturation: A new approach to optimization,” in
+*Proceedings of the 36th annual ACM SIGPLAN-SIGACT symposium on
+principles of programming languages*, in POPL ’09. Savannah, GA, USA:
+Association for Computing Machinery, 2009, pp. 264–276. doi:
+[10.1145/1480881.1480915].</span>
+
+</div>
+
+</div>
+
+ [10.1145/1480881.1480915]: https://doi.org/10.1145/1480881.1480915