Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Automatically Mining Program Build Information via Signature Matching   Program build information, such as compilers and libraries used, is vitally
important in an auditing and benchmarking framework for HPC systems. We have
developed a tool to automatically extract this information using
signature-based detection, a common strategy employed by anti-virus software to
search for known patterns of data within the program binaries. We formulate the
patterns from various "features" embedded in the program binaries, and the
experiment shows that our tool can successfully identify many different
compilers, libraries, and their versions.

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The categories of this paper are: hep-ex
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The categories of this paper are: q-bio
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The categories of this paper are: ao-sci
16
The categories of this paper are: stat
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The categories of this paper are: chao-dyn
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The categories of this paper are: math-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: solv-int
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The categories of this paper are: econ
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The categories of this paper are: funct-an
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The categories of this paper are: gr-qc
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The categories of this paper are: physics
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The categories of this paper are: q-fin
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The categories of this paper are: adap-org
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The categories of this paper are: eess
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The categories of this paper are: nlin