Am 12.04.2019 um 12:42 schrieb Artur Tarassow:
Yes, that's an example I had in mind. But given that some functions
already natively seem to support multi-threading [at least for big
matrices and certain linear algebra operations I frequently enjoy
watching all cores fully demanded ;-)], there would be no real
value-added in parallelizing stuff. For more complex task, one can
(fortunately) always rely on your 'parallel_specs' package ;-)
So I guess one would have to identify those functions which do get
native multi-threading via BLAS or whatever. But with respect to
parallel_specs, are you actually using it in practice?
thanks
sven