I wish some guy who is good at linux can release a rpm version(Fedora
Core3) of pymol. Compiling pymol on my linux for linux newbiee like me
is really an unforgetable experience and I don't want to do it again.
But , I really like pymol.

在 2005-01-16日的 20:16 -0800,[email protected]写道:
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>    1. PyMOL on Dual-CPU Workstations (Warren DeLano)
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> --__--__--
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> Message: 1
> From: "Warren DeLano" <[email protected]>
> To: <[email protected]>
> Date: Sun, 16 Jan 2005 14:34:37 -0800
> Subject: [PyMOL] PyMOL on Dual-CPU Workstations
> 
> PyMOL Users:
> 
> For those of you who like to keep up with the numbers, I just ran some new
> PyMOL CPU benchmarks on dual-processor unix workstations based on the
> Intel/Xeon, the Apple/G5, and our brand new AMD/Opteron.  These aren't top
> models, but rather affordable systems with performance within 20-25% of top
> models.
> 
> The point here was to see on which workstation you will wait less when
> ray-tracing or calculating geometries like surfaces, given the latest PyMOL
> optimizations.  Graphics performance wasn't compared since that depends
> mainly on the video card.
> 
> http://delsci.com/bench
> 
> The take home lesson:  As far as PyMOL is concerned, you can't go wrong with
> any of the three -- they're all within 20% of one another, with the G5 and
> Opteron being almost identical Ghz for Ghz, and with both of them getting
> 40-60% more work done per Ghz than the Pentium 4 Xeon.
> 
> It is striking however that the G5 and the Opteron are so similar in
> performance given that typical dual Opteron systems have a base price $1,300
> higher than a Mac dual G5.  If only stereo 3D (in a window) was available on
> the Mac, then it would be the obvious 64-bit platform of choice for
> molecular visualization.
>   
> Cheers,
> Warren
> 
> --
> Warren L. DeLano, Ph.D.                     
> Principal Scientist
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