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| HAL: hal-00128124, version 5 |
| arXiv: cs/0701192 |
| DOI: 10.1145/1353445.1353446 |
| Detailed view |  Export this paper |
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| ACM Transactions on Programming Languages and Systems 30, 3 (2008) 12 |
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| Available versions: | v1 (2007-01-30) | v2 (2007-04-20) | v3 (2007-06-30) | v4 (2007-10-25) | v5 (2008-05-22) |
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| The pitfalls of verifying floating-point computations |
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David Monniaux 1, 2 |
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| (2008-05) |
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| Current critical systems commonly use a lot of floating-point computations, and thus the testing or static analysis of programs containing floating-point operators has become a priority. However, correctly defining the semantics of common implementations of floating-point is tricky, because semantics may change with many factors beyond source-code level, such as choices made by compilers. We here give concrete examples of problems that can appear and solutions to implement in analysis software. |
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| 1: | Laboratoire d'informatique de l'école normale supérieure (LIENS) |
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CNRS : UMR8548 – Ecole normale supérieure de Paris - ENS Paris |
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| 2: | VERIMAG (VERIMAG - IMAG) |
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CNRS : UMR5104 – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG) |
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| Subject | : | Computer Science/Programming Languages Computer Science/Numerical Analysis |
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| floating-point – program analysis – rounding error – compilers – C programming language – C99 – program semantics |
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| hal-00128124, version 5 | |
| http://hal.archives-ouvertes.fr/hal-00128124 | |
| oai:hal.archives-ouvertes.fr:hal-00128124 | |
| From: David Monniaux | |
| Submitted on: Thursday, 22 May 2008 11:32:16 | |
| Updated on: Saturday, 11 October 2008 02:06:33 | |
