hi Antoine, I have a bare metal machine at home (affectionately known as the "pandabox") that's available via SSH that we've been using for continuous benchmarking for other projects. Arrow is welcome to use it. I can give you access to the machine if you would like. Hopefully, we can suitably the process of setting up a continuous benchmarking machine so that if we need to migrate to a new machine, it is not too much of a hardship to do so.
Thanks Wes On Wed, Apr 11, 2018 at 9:40 AM, Antoine Pitrou <anto...@python.org> wrote: > > Hello > > With the following changes, it seems we might reach the point where > we're able to run the Python-based benchmark suite accross multiple > commits (at least the ones not anterior to those changes): > https://github.com/apache/arrow/pull/1775 > > To make this truly useful, we would need a dedicated host. Ideally a > (Linux) OS running on bare metal, with SMT/HyperThreading disabled. > If running virtualized, the VM should have dedicated physical CPU cores. > > That machine would run the benchmarks on a regular basis (perhaps once > per night) and publish the results in static HTML form somewhere. > > (note: nice to have in the future might be access to NVidia hardware, > but right now there are no CUDA benchmarks in the Python benchmarks) > > What should be the procedure here? > > Regards > > Antoine.