RS-2 Tagging, Encoding, and Jones Optimality
DOI:
https://doi.org/10.7146/brics.v10i2.21773Resumé
A partial evaluator is said to be Jones-optimal if the result of specializing a self-interpreter with respect to a source program is textually identical to the source program, modulo renaming. Jones optimality has already been obtained if the self-interpreter is untyped. If the self-interpreter is typed, however, residual programs are cluttered with type tags. To obtain the original source program, these tags must be removed.A number of sophisticated solutions have already been proposed. We observe, however, that with a simple representation shift, ordinary partial evaluation is already Jones-optimal, modulo an encoding. The representation shift amounts to reading the type tags as constructors for higher-order abstract syntax. We substantiate our observation by considering a typed self-interpreter whose input syntax is higher-order. Specializing this interpreter with respect to a source program yields a residual program that is textually identical to the source program, modulo renaming.
Downloads
Publiceret
2003-01-06
Citation/Eksport
Danvy, O., & López, P. E. M. (2003). RS-2 Tagging, Encoding, and Jones Optimality. BRICS Report Series, 10(2). https://doi.org/10.7146/brics.v10i2.21773
Nummer
Sektion
Artikler
Licens
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).