Functional Stream Semantics for a Synchronous Block-Diagram Compiler

Synchronous block-diagram languages have long been formalized as fixpoints of equations defining stream functions. We apply this approach to a compiler verified in an interactive theorem prover, allowing us to restate its end-to-end correctness theorem: if a program is accepted and has no runtime errors, its input/output behavior is preserved in the generated code. In a functional semantics, it is necessary to model all possible behaviors, including erroneous ones. We show that static typing and dependency analyses correctly rule out all errors except those arising from logical and arithmetic operators. Our definitions supplement existing formal ones, especially for the reset operator, which is both useful in itself and a basis of advanced control structures.

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Published
2025-06-23
DOI
https://doi.org/10.1109/lics65433.2025.00052
Primary Topic
Parallel Computing and Optimization Techniques
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article
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article

Functional Stream Semantics for a Synchronous Block-Diagram Compiler

Timothy Bourke, Paul Jeanmaire, Marc Pouzet
Parallel Computing and Optimization Techniques
article

Functional Stream Semantics for a Synchronous Block-Diagram Compiler

Timothy Bourke, Paul Jeanmaire, Marc Pouzet
article en

Abstract

Synchronous block-diagram languages have long been formalized as fixpoints of equations defining stream functions. We apply this approach to a compiler verified in an interactive theorem prover, allowing us to restate its end-to-end correctness theorem: if a program is accepted and has no runtime errors, its input/output behavior is preserved in the generated code. In a functional semantics, it is necessary to model all possible behaviors, including erroneous ones. We show that static typing and dependency analyses correctly rule out all errors except those arising from logical and arithmetic operators. Our definitions supplement existing formal ones, especially for the reset operator, which is both useful in itself and a basis of advanced control structures.

Institut national de recherche en sciences et technologies du numérique (FR), École Normale Supérieure (BI)
Openalex Percentile: Top 69%
Parallel Computing and Optimization Techniques
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