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Oppps merginf all ~x86 ebuilds, what can expect
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deviljelly
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Joined: 19 Feb 2003
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PostPosted: Fri Feb 21, 2003 6:47 pm    Post subject: Oppps merginf all ~x86 ebuilds, what can expect Reply with quote

Opps,
I managed to get ACCEPT_KEYWORDS="~x86" in make.conf before I ran emerge -u world.

So noe I'm merging all of the "unstable" ebuilds including gcc3.2.2 and xfree86 4.2.99!!

What can I expect??? Is it going to be stable

P.S. My CFLAGS are:
-O3 -mcpu=athlon-xp -march=athlon-xp -pipe -fomit-frame-pointer -ffast-math -funroll-loops -mmmx -msse -m3dnow -fforce-addr -mfpmath=sse -frerun-cse-after-loop -frerun-loop-opt -falign-functions=4 -maccumulate-outgoing-args -fprefetch-loop-arrays
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-JeaN-
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Joined: 25 Nov 2002
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PostPosted: Fri Feb 21, 2003 6:52 pm    Post subject: Reply with quote

Hello,

It should work good, if it doesn't anyways you'll find answers here i think :)
Problems could arise if you don't etc-update..
Also in your CFLAGS, you just need -march, -mcpu then is not needed, and the -funroll-loops is not such a advised optimisation..

Good luck and let us know how it goes :)
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pjp
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PostPosted: Fri Feb 21, 2003 6:55 pm    Post subject: Reply with quote

Moved from Installing Gentoo.
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PostPosted: Sat Feb 22, 2003 2:15 am    Post subject: Reply with quote

why is the -funroll-loops not such an advised optimisation?
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clockwise
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Joined: 24 Aug 2002
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PostPosted: Sat Feb 22, 2003 2:14 pm    Post subject: Reply with quote

take a look at cflags central. off the top of my head i think the reasoning is; your hard-drive is the slowest part of your machine, therefore load times for programs are your worst bottleneck for performance. so, while unrolling loops makes for marginally faster code it also makes for larger code and therefore a longer load time.

i use (in a possibly redundant way):
Code:
CFLAGS="-march=pentium3 -Os -pipe -fomit-frame-pointer -msse -mmmx -mfpmath=sse -w

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Gnufsh
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PostPosted: Tue Feb 25, 2003 6:36 am    Post subject: Reply with quote

The main penalty of loop rolling size problems can be a cpu issue also, as larger code means more cache misses, reducing performance.
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