[Numpy-discussion] Strategy for OpenBLAS
matthew.brett at gmail.com
Tue May 26 14:59:54 EDT 2015
On Tue, May 26, 2015 at 12:53 PM, Julian Taylor
<jtaylor.debian at googlemail.com> wrote:
> On 05/26/2015 04:56 PM, Matthew Brett wrote:
>> This morning I was wondering whether we ought to plan to devote some
>> resources to collaborating with the OpenBLAS team.
>> It is relatively easy to add tests using Python / numpy. We like
>> tests. Why don't we propose a collaboration with OpenBLAS where we
>> build and test numpy with every / most / some commits of OpenBLAS, and
>> try to make it easy for the OpenBLAS team to add tests. Maybe we
>> can use and add to the list of machines on which OpenBLAS is tested
>> ? We Berkeley Pythonistas can certainly add the machines at our
>> buildbot farm . Maybe the Julia / R developers would be interested
>> to help too?
> Technically we only need a single machine with the newest instruction
> set available. All other cases could then be tested via a virtual
> machine that only exposes specific instruction sets (e.g. qemu which
> could technically also emulate stuff the host does not have).
> Concerning test generation there is a huge parameter space that needs
> testing due with openblas, at least some of it would need to be
> automated/fuzzed. We also need specific preconditioning of memory to
> test failure cases openblas had in the past, E.g. filling memory around
> the matrices with nans and also somehow filling openblas own temporary
> buffers with some signaling values (might require special built openblas
> if _MALLOC_PERTURB does not work).
> Maybe it would be feasible to write a hypothesis  strategy for some
> of the blas stuff to automate the parameter exploration.
> And then we'd need to run everything under valgrind as due to the
> assembler implementation of openblas we can't use the faster address
> sanitizers gcc and clang now provide.
>  https://hypothesis.readthedocs.org/en/latest/
All this sounds extremely useful.
What do you think we should do next? How feasible is it to start to
set this kind of thing up for our own use, and then offer to integrate
Is there anyone out there who knows the Julia and / or R community
well enough to know if they would be interested to help? What kind of
help do you think we need? Money for a machine?
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