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Creators/Authors contains: "Burtscher, Martin"

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  1. ; (, Proceedings of the 44th IEEE International Performance Computing and Communications Conference)
    Free, publicly-accessible full text available November 21, 2026
  2. ; (, ACM)
    Free, publicly-accessible full text available November 15, 2026
  3. ; (, ACM)
    Free, publicly-accessible full text available November 15, 2026
  4. ; ; (, ACM)
    Free, publicly-accessible full text available November 15, 2026
  5. ; ; (, Proceedings of the 54th International Conference on Parallel Processing)
    Free, publicly-accessible full text available September 8, 2026
  6. ; ; (, ACM)
    Free, publicly-accessible full text available June 8, 2026
  7. ; (, IEEE)
    Free, publicly-accessible full text available June 3, 2026
  8. ; ; (, IEEE)
    Full Text Available 
  9. ; ; ; (, 16th Annual International Conference on Education and New Learning Technologies)
    Full Text Available 
  10. ; ; ; (, ACM Transactions on Parallel Computing)
    Graph analytics codes are widely used and tend to exhibit input-dependent behavior, making them particularly interesting for software verification and validation. This paper presents Indigo3, a labeled benchmark suite based on 7 graph algorithms that are implemented in different styles, including versions with deliberately planted bugs. We systematically combine 13 sets of implementation styles and 15 common bug types to create the 41,790 CUDA, OpenMP, and parallel C programs in the suite. Each code is labeled with the styles and bugs it incorporates. We used 4 subsets of Indigo3 to test 5 program-verification tools. Our results show that the tools perform quite differently across the bug types and implementation styles, have distinct strengths and weaknesses, and generally struggle with graph codes. We discuss the styles and bugs that tend to be the most challenging as well as the programming patterns that yield false positives. 
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