Re: compiling development sources

[Jaroslav Hajek]

On Thu, Feb 11, 2010 at 10:52 AM, Carlo de Falco
<address@hidden> wrote:
>
> On 11 Feb 2010, at 10:21, Jaroslav Hajek wrote:
>
>>
>> Great. Thanks for the impulse. You may try to vary the random seed at line
>> 64
>>
>>     data seed /4*3/
>> -->
>>     data seed /4*13/
>>
>> the "4*" prefix is needed (it's not multiplication, just an ugly
>> Fortran feature), any integer will do as the second. Or you can supply
>> 4 different integers separated by commas.
>> Prior to doing so, please apply this patch:
>>
>> Index: test/Makefile
>> ===================================================================
>> --- test/Makefile       (revision 22)
>> +++ test/Makefile       (revision 23)
>> @@ -31,6 +31,7 @@
>>        ./report_results $(OUTS)
>>
>> $(OUTS): %.out: %
>> +       echo > $@
>>        ./$< | tee $@
>>
>> $(PROGS): % : %.f utils.o ../libqrupdate.a
>>
>>
>> or delete the *.out files after each try, otherwise a segfault may
>> escape your attention.
>> If you can't produce a failure this way, the problem is probably not
>> in qrupdate.
>> The next step i
>
> OK, I used 'data seed /4*23/' and got some test failures, and even in tests
> that do pass some residuals are not very small
> c.
>
>

The tests are randomized so random failures like this mean nothing (in
theory you can get arbitrarily bad residuals). The single precision
routines generally produce much worse residuals. This is the reason
why the seed is hard-coded.
Anyway I just discovered that I occassionally get failures as well,
cause by NaNs compute by CHERK.
I'm sending you an unofficial (yet) qrupdate-1.1.1 tarball. Please
rebuild and rerun the testsuite, possibly trying multiple seeds as
well. Pay attention to possible warnings at the end. I'm interested in
your results.

Regards


-- 
RNDr. Jaroslav Hajek, PhD
computing expert & GNU Octave developer
Aeronautical Research and Test Institute (VZLU)
Prague, Czech Republic
url: www.highegg.matfyz.cz

qrupdate-1.1.1.tar.gz
Description: GNU Zip compressed data