SSA Translation Is an Abstract Interpretation
Static single assignment (SSA) form is a popular intermediate representation that helps implement useful static analyses, including global value numbering (GVN), sparse dataflow analyses, or SMT-based abstract interpretation or model checking. However, the precision of the SSA translation itself dep...
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| Published in: | Proceedings of ACM on programming languages Vol. 7; no. POPL; pp. 1895 - 1924 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York, NY, USA
ACM
09.01.2023
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| Series: | POPL 2023 - the 50th ACM SIGPLAN Symposium on Principles of Programming Languages |
| Subjects: | |
| ISSN: | 2475-1421, 2475-1421 |
| Online Access: | Get full text |
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| Summary: | Static single assignment (SSA) form is a popular intermediate representation that helps implement useful static analyses, including global value numbering (GVN), sparse dataflow analyses, or SMT-based abstract interpretation or model checking. However, the precision of the SSA translation itself depends on static analyses, and a priori static analysis is even indispensable in the case of low-level input languages like machine code. To solve this chicken-and-egg problem, we propose to turn the SSA translation into a standard static analysis based on abstract interpretation. This allows the SSA translation to be combined with other static analyses in a single pass, taking advantage of the fact that it is more precise to combine analyses than applying passes in sequence. We illustrate the practicality of these results by writing a simple dataflow analysis that performs SSA translation, optimistic global value numbering, sparse conditional constant propagation, and loop-invariant code motion in a single small pass; and by presenting a multi-language static analyzer for both C and machine code that uses the SSA abstract domain as its main intermediate representation. |
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| ISSN: | 2475-1421 2475-1421 |
| DOI: | 10.1145/3571258 |