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A summary of possible enhancements #1

@wanghc78

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@wanghc78

Summarized based on the suggestions from Tomas Kalibera.
Should be divided into several small issues.

  • A more general harness
    • e.g. running also benchmarks that need preprocessed inputs such as fasta based shootouts,
    • preprocessing those inputs, repetitions of VM invocations as well as benchmark iterations,
    • unification of seed setting for random number generation,
    • automated sizing of benchmarks based on a given VM,
    • collection of raw measurements and some initial summarization in R,
    • some common framework/approach to running on VMs with restricted features like FastR or specific needs like ORBIT - the .internal calls).
  • The benchmarks should each support validation of results (which is hard indeed, but at least they should provide an output that could be verified by hand)

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