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| Content Provider | ACM Digital Library |
|---|---|
| Author | Oancea, Cosmin E. Henriksen, Troels |
| Abstract | This paper presents an analysis for bounds checking of array subscripts that lifts checking assertions to program level under the form of an arbitrarily-complex predicate (inspector), whose runtime evaluation guards the execution of the code of interest. Separating the predicate from the computation makes it more amenable to optimization, and allows it to be split into a cascade of sufficient conditions of increasing complexity that optimizes the common-inspection path. While synthesizing the bounds checking invariant resembles type checking techniques, we rely on compiler simplification and runtime evaluation rather than employing complex inference and annotation systems that might discourage the non-specialist user. We integrate the analysis in the compiler's repertoire of Futhark: a purely-functional core language supporting map-reduce nested parallelism on regular arrays, and show how the high-level language invariants enable a relatively straightforward analysis. Finally, we report a qualitative evaluation of our technique on three real-world applications from the financial domain that indicates that the runtime overhead of predicates is negligible. |
| Starting Page | 88 |
| Ending Page | 94 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781450329378 |
| DOI | 10.1145/2627373.2627388 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-06-09 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Functional language Autoparallelization Subscripts bounds checking |
| Content Type | Text |
| Resource Type | Article |
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