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        <datestamp>2024-03-06T10:46:39Z</datestamp>
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          <dc:title>Scopes and Frames Improve Meta-Interpreter Specialization</dc:title>
          <dc:creator>Vergu, Vlad</dc:creator>
          <dc:creator>Tolmach, Andrew</dc:creator>
          <dc:creator>Visser, Eelco</dc:creator>
          <dc:subject>Definitional interpreters</dc:subject>
          <dc:subject>partial evaluation</dc:subject>
          <dc:description>DynSem is a domain-specific language for concise specification of the dynamic semantics of programming languages, aimed at rapid experimentation and evolution of language designs. To maintain a short definition-to-execution cycle, DynSem specifications are meta-interpreted. Meta-interpretation introduces runtime overhead that is difficult to remove by using interpreter optimization frameworks such as the Truffle/Graal Java tools; previous work has shown order-of-magnitude improvements from applying Truffle/Graal to a meta-interpreter, but this is still far slower than what can be achieved with a language-specific interpreter. In this paper, we show how specifying the meta-interpreter using scope graphs, which encapsulate static name binding and resolution information, produces much better optimization results from Truffle/Graal. Furthermore, we identify that JIT compilation is hindered by large numbers of calls between small polymorphic rules and we introduce rule cloning to derive larger monomorphic rules at run time as a countermeasure. Our contributions improve the performance of DynSem-derived interpreters to within an order of magnitude of a handwritten language-specific interpreter.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Vlad Vergu and Andrew Tolmach and Eelco Visser</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 134, 33rd European Conference on Object-Oriented Programming (ECOOP 2019)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ECOOP.2019.4</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-107969</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2019.4</dc:identifier>
          <dc:language>eng</dc:language>
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