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Program build information, such as compilers and libraries used, is vitallyimportant in an auditing and benchmarking framework for HPC systems. We havedeveloped a tool to automatically extract this information usingsignature-based detection, a common strategy employed by anti-virus software tosearch for known patterns of data within the program binaries. We formulate thepatterns from various "features" embedded in the program binaries, and theexperiment shows that our tool can successfully identify many differentcompilers, libraries, and their versions.

Automatically Mining Program Build Information via Signature Matching