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        <identifier>oai:drops-oai.dagstuhl.de:16208</identifier>
        <datestamp>2024-03-06T11:05:15Z</datestamp>
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          <dc:title>Verified Compilation and Optimization of Floating-Point Programs in CakeML (Artifact)</dc:title>
          <dc:creator>Becker, Heiko</dc:creator>
          <dc:creator>Rabe, Robert</dc:creator>
          <dc:creator>Darulova, Eva</dc:creator>
          <dc:creator>Myreen, Magnus O.</dc:creator>
          <dc:creator>Tatlock, Zachary</dc:creator>
          <dc:creator>Kumar, Ramana</dc:creator>
          <dc:creator>Tan, Yong Kiam</dc:creator>
          <dc:creator>Fox, Anthony</dc:creator>
          <dc:subject>compiler verification</dc:subject>
          <dc:subject>compiler optimization</dc:subject>
          <dc:subject>floating-point arithmetic</dc:subject>
          <dc:description>Verified compilers such as CompCert and CakeML have become increasingly realistic over the last few years, but their support for floating-point arithmetic has thus far been limited. In particular, they lack the "fast-math-style" optimizations that unverified mainstream compilers perform. Supporting such optimizations in the setting of verified compilers is challenging because these optimizations, for the most part, do not preserve the IEEE-754 floating-point semantics. However, IEEE-754 floating-point numbers are finite approximations of the real numbers, and we argue that any compiler correctness result for fast-math optimizations should appeal to a real-valued semantics rather than the rigid IEEE-754 floating-point numbers.&#13;
This document describes the artifact for RealCake, an extension of CakeML that achieves end-to-end correctness results for fast-math-style optimized compilation of floating-point arithmetic. This result is achieved by giving CakeML a flexible floating-point semantics and integrating an external proof-producing accuracy analysis. RealCake’s end-to-end theorems relate the I/O behavior of the original source program under real-number semantics to the observable I/O behavior of the compiler generated and fast-math-optimized machine code.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Heiko Becker and Robert Rabe and Eva Darulova and Magnus O. Myreen and Zachary Tatlock and Ramana Kumar and Yong Kiam Tan and Anthony Fox</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of DARTS, Volume 8, Issue 2, Special Issue of the 36th European Conference on Object-Oriented Programming (ECOOP 2022)</dc:relation>
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          <dc:identifier>doi:10.4230/DARTS.8.2.10</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-162086</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/DARTS.8.2.10</dc:identifier>
          <dc:language>eng</dc:language>
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