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Tree Borrows

Authors: Neven Villani; Johannes Hostert; Derek Dreyer; Ralf Jung 0002;
Abstract

The Rust programming language is well known for its ownership-based type system, which offers strong guarantees like memory safety and data race freedom. However, Rust also provides unsafe escape hatches, for which safety is not guaranteed automatically and must instead be manually upheld by the programmer. This creates a tension. On the one hand, compilers would like to exploit the strong guarantees of the type system—particularly those pertaining to aliasing of pointers—in order to unlock powerful intraprocedural optimizations. On the other hand, those optimizations are easily invalidated by “badly behaved” unsafe code. To ensure correctness of such optimizations, it thus becomes necessary to clearly define what unsafe code is “badly behaved.” In prior work, Stacked Borrows defined a set of rules achieving this goal. However, Stacked Borrows rules out several patterns that turn out to be common in real-world unsafe Rust code, and it does not account for advanced features of the Rust borrow checker that were introduced more recently. To resolve these issues, we present Tree Borrows . As the name suggests, Tree Borrows is defined by replacing the stack at the heart of Stacked Borrows with a tree. This overcomes the aforementioned limitations: our evaluation on the 30 000 most widely used Rust crates shows that Tree Borrows rejects 54 % fewer test cases than Stacked Borrows does. Additionally, we prove (in Rocq) that it retains most of the Stacked Borrows optimizations and also enables important new ones, notably read-read reorderings.

Country
Switzerland
Keywords

Rust, operational semantics, compiler optimizations, Miri, Rocq, Rust; operational semantics; compiler optimizations; Miri; Rocq

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
Published in a Diamond OA journal