Publication | Open Access
From ML to Ada: Strongly-typed language interoperability via source translation
114
Citations
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References
1998
Year
EngineeringCompiler TechnologySoftware SystemsLanguage InteroperabilitySoftware EngineeringSemanticsSemantic WebSoftware AnalysisFunctional CodeNatural Language ProcessingDependently Typed ProgrammingCompilersSource TranslationMachine TranslationProgramming LanguagesComputer EngineeringComputer ScienceType SystemAda83 CodeExtensible LanguageFunctional ProgrammingFunctional Programming LanguageStandard Type SystemsProgram AnalysisAutomated ReasoningFormal MethodsIntermediate RepresentationsUnification GrammarSoftware Language Engineering
The system enables source‑level integration of ML‑like functional language code with ANSI C or Ada83 code. It translates functional code into type‑correct, vanilla C or Ada by specializing polymorphism, eliminating higher‑order functions with closure datatypes, and aggressively optimizing the resulting first‑order code while preserving full typing. The generated target code achieves speeds comparable to those of current optimizing ML compilers, despite using a conservative garbage collector.
We describe a system that supports source-level integration of ML-like functional language code with ANSI C or Ada83 code. The system works by translating the functional code into type-correct, ‘vanilla’ C or Ada; it offers simple, efficient, type-safe inter-operation between new functional code components and ‘legacy’ third-generation-language components. Our translator represents a novel synthesis of techniques including user-parameterized specification of primitive types and operators; removal of polymorphism by code specialization; removal of higher-order functions using closure datatypes and interpretation; and aggressive optimization of the resulting first-order code, which can be viewed as encoding the result of a closure analysis. Programs remain fully typed at every stage of the translation process, using only simple, standard type systems. Target code runs at speeds comparable to the output of current optimizing ML compilers, even though handicapped by a conservative garbage collector.
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