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Running times in seconds for a representative sample of proteins with varying length () and sequences in alignment (), using different algorithms.

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https://figshare.com/articles/dataset/_Running_times_in_seconds_for_a_representative_sample_of_proteins_with_varying_length_and_sequences_in_alignment_using_different_algorithms_/971976
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Since the Gaussian DCA code is parallelized, we show two series of results, one in which we used 8 cores and one in which we forced the code to run on a single core, for the sake of comparing with the non-parallel code of PSICOV and plmDCA. These benchmarks were taken on a -core cluster of MHz AMD Opteron 6172 processors running Linux 3.5.0; PSICOV version 1.11 was used, compiled with gcc 4.7.2 at -O3 optimization level; plmDCA was run with MATLAB version r2011b. Gaussian DCA timings shown are taken using the Julia version of the code, using Julia version 0.2.
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2014-03-24
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