By Gogul Balakrishnan, Thomas Reps (auth.), Byron Cook, Andreas Podelski (eds.)
ISBN-10: 3540697357
ISBN-13: 9783540697350
Read or Download Verification, Model Checking, and Abstract Interpretation: 8th International Conference, VMCAI 2007, Nice, France, January 14-16, 2007. Proceedings PDF
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Extra info for Verification, Model Checking, and Abstract Interpretation: 8th International Conference, VMCAI 2007, Nice, France, January 14-16, 2007. Proceedings
Example text
1 Introduction Parallelism has proved remarkably effective at providing the high level of performance demanded by scientific computing. But parallel programming is notoriously difficult and, as the complexity of scientific applications increases, computational scientists find themselves expending an inordinate amount of effort developing, testing, and debugging their programs. Concerns about this level of effort—and the correctness of the resulting programs—have led to growing interest in new verification and validation approaches for scientific computing [6].
A similar algorithm was devised by Eidorff et al. [12] and incorporated in the AnnoDomani system. The original motivation for these algorithms was the Year 2000 problem; they provided a way to identify how date-valued quantities could flow through a program. Mycroft [20] gave a unification-based algorithm for performing type reconstruction; for instance, when a register is dereferenced with an offset of 4 to perform a 4-byte access, the algorithm infers that the register holds a pointer to an object that has a 4-byte field at offset 4.
We were surprised to find that the Semi-Na¨ıve approach was able to provide a small amount of useful information for indirect memory operands. For instance, trees, 24 G. Balakrishnan and T. Reps Table 3. Fraction of memory operands that are trackable after VSA. The number in parenthesis shows the number of rounds (n) of VSA-ASI iteration for each executable. ) Boldface and bold-italics in the Indirect columns indicate the maximum and minimum improvements, respectively. Round NP (4) primes (4) family (4) vcirc (5) fsm (2) office (3) trees (5) deriv1 (4) chess (3) objects (5) simul (3) greed (5) ocean (3) deriv2 (5) richards (2) deltablue (3) mplayer2 (2) smss (3) print (3) doskey (3) attrib (3) routemon (3) cat (3) ls (3) Weakly-Trackable Kills (%) Indirect Direct 1 n 1 n 0 100 100 100 0 100 100 100 0 100 100 100 0 100 100 100 0 50 100 100 0 100 100 100 10 100 98 100 0 100 97 99 0 60 99 99 0 100 100 100 0 100 71 100 3 53 99 100 9 90 99 100 0 100 100 100 0 68 100 100 1 57 99 100 12 51 89 97 9 19 92 98 2 22 92 99 2 17 92 97 7 24 93 98 7 11 93 97 12 22 93 97 11 23 94 98 Strongly-Trackable Uses (%) Indirect Direct 1 n 1 n 0 100 100 100 0 83 100 100 0 100 100 100 0 100 100 100 0 29 98 100 0 100 100 100 25 61 96 100 0 77 98 98 0 25 100 100 0 94 100 100 0 38 57 100 3 10 98 98 6 42 98 100 0 97 95 100 0 7 99 99 0 16 99 99 8 8 89 92 1 4 84 90 6 14 89 92 5 7 79 86 4 12 86 90 1 2 81 86 1 4 79 84 1 4 84 88 greed, ocean, deltablue, and all the Windows executables have a non-zero percentage of trackable memory operands.
Verification, Model Checking, and Abstract Interpretation: 8th International Conference, VMCAI 2007, Nice, France, January 14-16, 2007. Proceedings by Gogul Balakrishnan, Thomas Reps (auth.), Byron Cook, Andreas Podelski (eds.)
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