Hi David, no I didn't do "make compiler" in my previous tests... But after I did it (make compiler; make install) and rebuilt HOL, the "miller" selftest result is the same. The whole testing process still need more than 8 minutes to finish.
Regards, Chun On Sat, Jun 20, 2020 at 1:23 AM David Matthews < [email protected]> wrote: > Hi, > You did run "make compiler" at least once after running "configure" and > "make", didn't you? > David > > On 19/06/2020 18:17, Chun Tian (binghe) wrote: > > Hi David, > > > > I rebuilt and installed PolyML 5.8 ('master', up to 0ad5aa8) and ran > again > > the 'miller' selftests as Michael mentioned, but the results seem > unchanged: > > > > ``` > > Composite test on 91 ... > > (0.018s) OK > > Composite test on 123 ... [GC = > 0.037] > > (0.013s) OK > > Composite test on 4294967297 ... [GC = > 3.487] > > (0.376s) OK > > Composite test on 18446744073709551617 ... [GC = > 84.370] > > (2.846s) OK > > Composite test on 340282366920938463463374607431768211457 ... [GC = > > 429.267] (21.935s) OK > > > > real 9m19.723s > > user 9m7.408s > > sys 0m12.139s > > ``` > > > > I'm on macOS 10.15 (catalina) with 2,3 GHz Intel Core i9 (8 core). The > same > > tests took less than 30s with PolyML 5.7. > > > > Hope this helps, > > > > Chun Tian > > > > > > On Fri, Jun 19, 2020 at 6:54 PM David Matthews < > > [email protected]> wrote: > > > >> Thanks, Phil, for reminding me of this. I've committed a fix (0ad5aa8) > >> for that. There was a tail-recursive function in your example that > >> returned a tuple. Poly/ML puts these on the stack where it can but in > >> this case it was causing the function to cease to be tail-recursive, > >> eating up the stack. The reason for the regression was a change in the > >> way tuples on the stack are handled in the 32-in-64 bit version. Your > >> example now works as it used to. > >> > >> Michael, it would be worth trying your code with the latest version to > >> see if this has fixed it. If it hasn't then presumably it's a different > >> problem and I'll have to investigate further. > >> > >> David > >> > >> On 16/06/2020 09:58, Phil Clayton wrote: > >>> I also found that 5.8 can consume a huge amount of memory compared to > >>> 5.7.1. In my case, it was a very small example doing simple arithmetic > >>> operations (demonstrating Fermat's method to find pairs of factors) so > >>> it may be related. I have raised an issue for it: > >>> https://github.com/polyml/polyml/issues/121 > >>> > >>> Phil > >>> > >>> On 16/06/20 02:30, Norrish, Michael (Data61, Acton) wrote: > >>>> I have some HOL code that runs to completion in ~24 seconds user time. > >>>> > >>>> On 5.7.1 it runs in about that much wall clock time too. > >>>> (Unfortunately, this test is running on a different machine, > >>>> necessarily, but this is an old Linux desktop which is far less > >>>> powerful than the new Macbook Pro which is running 5.8.) > >>>> > >>>> On 5.8 (updated for MacOS Catalina to the SHA above), wall clock time > >>>> is 8 minutes. > >>>> > >>>> The relevant code is the selftest in examples/miller/miller which is a > >>>> big arithmetic normalisation. > >>>> > >>>> On the Mac, memory consumption (as reported by the Activity Monitor) > >>>> gets as high as 20GB; on the Linux machine running 5.7.1, the > >>>> consumption remains very slight (top reports 3% in its %MEM column; > >>>> the machine has 16GB) > >>>> > >>>> Michael > >>>> > >>>> > >>>> > >>>> _______________________________________________ > >>>> polyml mailing list > >>>> [email protected] > >>>> http://lists.inf.ed.ac.uk/mailman/listinfo/polyml > >>>> > >>> _______________________________________________ > >>> polyml mailing list > >>> [email protected] > >>> http://lists.inf.ed.ac.uk/mailman/listinfo/polyml > >> _______________________________________________ > >> polyml mailing list > >> [email protected] > >> http://lists.inf.ed.ac.uk/mailman/listinfo/polyml > > > > > > > > > > _______________________________________________ > > polyml mailing list > > [email protected] > > http://lists.inf.ed.ac.uk/mailman/listinfo/polyml > > > _______________________________________________ > polyml mailing list > [email protected] > http://lists.inf.ed.ac.uk/mailman/listinfo/polyml > -- Chun Tian (binghe) Fondazione Bruno Kessler (Italy)
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