1,721,029 research outputs found
Towards Strong Normalization for Dependent Object Types (DOT) (Artifact)
No full textThis artifact provides the fully mechanized proof of strong normalization for D_{<:} , a variant of (Dependent Object Types) DOT (Rompf & Amin, 2016) that excludes recursive functions and recursive types. The intersection type and recursive self type are further integrated, moving towards DOT. The key proof idea follows the method of Girard (Girard, 1972) and Tait (Tait, 1967)
Towards Strong Normalization for Dependent Object Types (DOT)
No full textThe Dependent Object Types (DOT) family of calculi has been proposed as a new theoretic foundation for Scala and similar languages, unifying functional programming, object oriented programming and ML-style module systems. Following the recent type soundness proof for
DOT, the present paper aims to establish stronger meta-theoretic properties. The main result is a fully mechanized proof of strong normalization for D_<:, a variant of DOT that excludes recursive functions and recursive types. We further discuss techniques and challenges for adding recursive types while maintaining strong normalization, and demonstrate that certain variants of recursive self types can be integrated successfully
Lightweight modular staging (LMS): generate all the things! (keynote)
No full textRecent years have seen a surge of interest in staging and generative programming, driven by the increasing difficulty of making high-level code run fast on modern hardware. While the mechanics of program generation are relatively well understood, we have only begun to understand how to develop systems in a generative way. The Lightweight Modular Staging (LMS) platform forms the core of a research agenda to make generative programming more widely accessible, through powerful libraries and a growing selection of case studies that illuminate design patterns and crystallize best practices for high-level and effective generative programming. This talk will reflect on the foundations of LMS, on applications, achievements, challenges, as well as ongoing and future work.</jats:p
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