ASTro: An AST-Based Reusable Optimization Framework

Partial evaluation of abstract syntax tree (AST) traversal interpreters removes interpretation overhead while maximizing developer productivity; a language author specifies only the behavior of each AST node, and the framework specializes whole programs automatically. Existing solutions, however, come with heavyweight toolchains and tightly coupled, platform-specific back-ends, making portability and deployment difficult.

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Published
2025-10-09
DOI
https://doi.org/10.1145/3759548.3763371
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
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article

ASTro: An AST-Based Reusable Optimization Framework

Koichi Sasada
Parallel Computing and Optimization Techniques
article

ASTro: An AST-Based Reusable Optimization Framework

Koichi Sasada
article en

Abstract

Partial evaluation of abstract syntax tree (AST) traversal interpreters removes interpretation overhead while maximizing developer productivity; a language author specifies only the behavior of each AST node, and the framework specializes whole programs automatically. Existing solutions, however, come with heavyweight toolchains and tightly coupled, platform-specific back-ends, making portability and deployment difficult.

Štore Steel (Slovenia) (SI)
Openalex Percentile: Top 69%
Parallel Computing and Optimization Techniques
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ASTro: An AST-Based Reusable Optimization Framework — Koichi Sasada · (2025) | TGRS Research Map | TGRS