Don't know if it is what you are looking for, but NumPy has a built-in suite of benchmarks: http://docs.scipy.org/doc/numpy/reference/generated/numpy.testing.Tester.bench.html
Also, some projects have taken to utilizing the "airspeed velocity" utility to track benchmarking stats for their projects. I know astropy utilizes it. So, maybe their benchmarks might be a good starting point since they utilize numpy heavily? Cheers! Ben Root On Fri, Aug 5, 2016 at 3:42 AM, Papa, Florin <florin.p...@intel.com> wrote: > Hi, > > > > This is Florin Papa from the Dynamic Scripting Languages Optimizations > team in Intel Corporation. > > > > Our team is working on optimizing the PyPy interpreter and part of this > work is to find and fix incompatibilities between NumPy and PyPy. Does > anyone have knowledge of real life workloads that use NumPy and cannot be > run using PyPy? > > > > We are also interested in creating a repository with relevant benchmarks > for real world usage of NumPy, like GUPB for CPython, but we have not found > such workloads for NumPy. > > > > Thank you, > > Florin > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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