From: Liu Shiyong <syliu@md...> - 2005-01-17 05:49:34
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.
=D4=DA 2005-01-16=C8=D5=B5=C4 20:16 -0800=A3=ACpymol-users-request@...=
> Send PyMOL-users mailing list submissions to
> To subscribe or unsubscribe via the World Wide Web, visit
> or, via email, send a message with subject or body 'help' to
> You can reach the person managing the list at
> When replying, please edit your Subject line so it is more specific
> than "Re: Contents of PyMOL-users digest..."
> Today's Topics:
> 1. PyMOL on Dual-CPU Workstations (Warren DeLano)
> Message: 1
> From: "Warren DeLano" <warren@...>
> To: <pymol-users@...>
> 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 =
> 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 =
> models, but rather affordable systems with performance within 20-25% of=
> The point here was to see on which workstation you will wait less when
> ray-tracing or calculating geometries like surfaces, given the latest P=
> optimizations. Graphics performance wasn't compared since that depends
> mainly on the video card.
> The take home lesson: As far as PyMOL is concerned, you can't go wrong=
> any of the three -- they're all within 20% of one another, with the G5 =
> Opteron being almost identical Ghz for Ghz, and with both of them getti=
> 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 $=
> higher than a Mac dual G5. If only stereo 3D (in a window) was availab=
> the Mac, then it would be the obvious 64-bit platform of choice for
> molecular visualization.
> Warren L. DeLano, Ph.D. =20
> Principal Scientist
> . DeLano Scientific LLC =20
> . 400 Oyster Point Blvd., Suite 213 =20
> . South San Francisco, CA 94080 =20
> . Biz:(650)-872-0942 Tech:(650)-872-0834 =20
> . Fax:(650)-872-0273 Cell:(650)-346-1154
> . mailto:warren@... =20
> PyMOL-users mailing list
> End of PyMOL-users Digest
Shiyong Liu 86-10-62757520
Wellcome to MDL syliu@...