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On 25/02/2013 22:57, Rich Freeman wrote: |
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> A sword that cuts two ways - judging understanding by an email is a |
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> dubious proposition, otherwise we wouldn't need job interviews. :) |
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> It is just as likely that we're simply miscommunicating. |
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|
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Did you not just say there: |
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|
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"Calculating scroll bar movement is |
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exactly the sort of thing that this flag was actually designed for - |
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you don't care if it is off by 1/100th of a pixel." |
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or am I mistaken? If I'm not mistaken, that phrase is really not |
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understanding it. |
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The calculation that goes in painting on screen a scrollbar are hardly |
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something you expect -ffast-math to be designed for. Can you defend your |
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statement in any way? |
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|
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> Define what you mean by "building *by itself*" - I don't want to |
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> assume I understand what you're getting at here. I certainly wasn't |
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> suggesting that you could be able to run CFLAGS="-O2 -ffast-math" |
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> emerge chromium and get anything usable. |
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|
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Which is exactly what Tom complained about. |
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|
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> -ffast-math is a flag that |
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> should be applied to specific functions or even parts of functions |
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> where there is an understood performance vs accuracy tradeoff. |
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|
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Of course dealing with flags _per functions_ is not possible, as flags |
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apply at the very least to a translation unit... |
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> If you're just using it to calculate how many pixels down it is, it |
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> certainly shouldn't be that inaccurate. |
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But you're not just calculating how many pixels down to draw it... |
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you're calculating a bunch of parameters, including shades, shadows, |
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sub-pixel positioning, .... |
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|
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> If you're using it to do |
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> pointer arithmetic or something then you're just going to get |
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> segfaults. |
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Uh.. no. Pointer arithmetic is, by and of itself, integer arithmetic. |
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That's not going to be influenced by -ffast-math. |
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|
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Vastly, -ffast-math deals with floating-point arithmetic, which can be |
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sped up significantly ignoring some of the rules imposed by |
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floating-point arithmetic by IEEE/ISO standards. Breaking which, though, |
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can lead to seriously messed up results. |
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|
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> There are arithmetic functions in computing that are |
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> discrete/functional in nature, and there are those which relate more |
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> to real-world measurements. Adding a 0.001% error to a hash |
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> calculation breaks a hash. Adding 0.001% error to a scientific |
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> calculation where all the components have 1% measurement error is |
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> insignificant. |
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But if you add 1% error to hundreds of small calculations ... well, you |
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should get the point, don't you? |
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There are decent use cases for -ffast-math... none of which involve a |
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desktop system, in my opinion. |
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|
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-- |
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Diego Elio Pettenò — Flameeyes |
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flameeyes@×××××××××.eu — http://blog.flameeyes.eu/ |