[Rd] double in summary.c : isum
Matthew Dowle
mdowle at mdowle.plus.com
Mon Mar 25 12:31:37 CET 2013
On 25.03.2013 11:27, Matthew Dowle wrote:
> On 25.03.2013 09:20, Prof Brian Ripley wrote:
>> On 24/03/2013 15:01, Duncan Murdoch wrote:
>>> On 13-03-23 10:20 AM, Matthew Dowle wrote:
>>>> On 23.03.2013 12:01, Prof Brian Ripley wrote:
>>>>> On 20/03/2013 12:56, Matthew Dowle wrote:
>>>>>>
>>>>>> Hi,
>>>>>>
>>>>>> Please consider the following :
>>>>>>
>>>>>>> x = as.integer(2^30-1)
>>>>>> [1] 1073741823
>>>>>>> sum(c(rep(x, 10000000), rep(-x,9999999)))
>>>>>> [1] 1073741824
>>>>>>
>>>>>> Tested on 2.15.2 and a recent R-devel (r62132).
>>>>>>
>>>>>> I'm wondering if s in isum could be LDOUBLE instead of double,
>>>>>> like
>>>>>> rsum, to fix this edge case?
>>>>>
>>>>> No, because there is no guarantee that LDOUBLE differs from
>>>>> double
>>>>> (and platform on which it does not).
>>>>
>>>> That's a reason for not using LDOUBLE at all isn't it? Yet
>>>> src/main/*.c
>>>> has 19 lines using LDOUBLE e.g. arithmetic.c and cum.c as well as
>>>> summary.c.
>>>>
>>>> I'd assumed LDOUBLE was being used by R to benefit from long
>>>> double (or
>>>> equivalent) on platforms that support it (which is all modern
>>>> Unix, Mac
>>>> and Windows as far as I know). I do realise that the edge case
>>>> wouldn't
>>
>> Actually, you don't know. Really only on almost all Intel ix86:
>> most
>> other current CPUs do not have it in hardware. C99/C11 require long
>> double, but does not require the accuracy that you are thinking of
>> and
>> it can be implemented in software.
>
> This is very interesting, thanks. Which of the CRAN machines don't
> support LDOUBLE with higher accuracy than double, either in hardware
> or software? Yes I had assumed that all CRAN machines would do. It
> would be useful to know for something else I'm working on as well.
>
>>>> be fixed on platforms where LDOUBLE is defined as double.
>>>
>>> I think the problem is that there are two opposing targets in R:
>>> we
>>> want things to be as accurate as possible, and we want them to be
>>> consistent across platforms. Sometimes one goal wins, sometimes the
>>> other. Inconsistencies across platforms give false positives in
>>> tests
>>> that tend to make us miss true bugs. Some people think we should
>>> never
>>> use LDOUBLE because of that. In other cases, the extra accuracy is
>>> so
>>> helpful that it's worth it. So I think you'd need to argue that
>>> the
>>> case you found is something where the benefit outweighs the costs.
>>> Since
>>> almost all integer sums are done exactly with the current code, is
>>> it
>>> really worth introducing inconsistencies in the rare inexact cases?
>>
>> But as I said lower down, a 64-bit integer accumulator would be
>> helpful, C99/C11 requires one at least that large and it is
>> implemented in hardware on all known R platforms. So there is a way
>> to do this pretty consistently across platforms.
>
> That sounds much better. Is it just a matter of changing s to be
> declared as uint64_t?
Typo. I meant int64_t.
>
>>>
>>> Duncan Murdoch
>>>
>>>
>>>>
>>>> What have I misunderstood?
>>>>
>>>>>
>>>>> Users really need to take responsibility for the numerical
>>>>> stability
>>>>> of calcuations they attempt. Expecting to sum 20 million large
>>>>> numbers exactly is unrealistic.
>>>>
>>>> Trying to take responsibility, but you said no. Changing from
>>>> double to
>>>> LDOUBLE would mean that something that wasn't realistic, was then
>>>> realistic (on platforms that support long double).
>>>>
>>>> And it would bring open source R into line with TERR, which gets
>>>> the
>>>> answer right, on 64bit Windows at least. But I'm not sure I should
>>>> be as
>>>> confident in TERR as I am in open source R because I can't see its
>>>> source code.
>>>>
>>>>
>>>>> There are cases where 64-bit integer accumulators would be
>>>>> beneficial, and this is one. Unfortunately C11 does not require
>>>>> them
>>>>> but some optional moves in that direction are planned.
>>>>>
>>>>>>
>>>>>> https://svn.r-project.org/R/trunk/src/main/summary.c
>>>>>>
>>>>>> Thanks,
>>>>>> Matthew
>>>>>>
>>>>>> ______________________________________________
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>>>>
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>>>>
>>>
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