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Re: [charm] [ppl] Appropriate build type for LLNL linux clusters


Chronological Thread 
  • From: "Bennion, Brian" <Bennion1 AT llnl.gov>
  • To: Abhinav Bhatele <bhatele AT illinoisalumni.org>
  • Cc: "charm AT cs.uiuc.edu" <charm AT cs.uiuc.edu>
  • Subject: Re: [charm] [ppl] Appropriate build type for LLNL linux clusters
  • Date: Mon, 29 Aug 2011 12:17:00 -0700
  • Accept-language: en-US
  • Acceptlanguage: en-US
  • List-archive: <http://lists.cs.uiuc.edu/pipermail/charm>
  • List-id: CHARM parallel programming system <charm.cs.uiuc.edu>

Hello Abhinav,

Thank you for the quick reply. What flavor of mpi libraries do the builds
below assume is being used?
We have mpi wrappers for intel compilers that might need to be inserted with
the first two builds.

Brian


-----Original Message-----
From:
bhatele AT gmail.com

[mailto:bhatele AT gmail.com]
On Behalf Of Abhinav Bhatele
Sent: Monday, August 29, 2011 12:01 PM
To: Bennion, Brian
Cc:
charm AT cs.uiuc.edu
Subject: Re: [ppl] [charm] Appropriate build type for LLNL linux clusters

Hi Brian,

You can try a couple different charm builds and then benchmark NAMD to see
which one gives you the best performance:

./build charm++ mpi-linux-x86_64 --with-production
./build charm++ mpi-linux-x86_64 smp --with-production
./build charm++ net-linux-x86_64 ibverbs --with-production
./build charm++ net-linux-x86_64 ibverbs smp --with-production

The smp builds of Charm/NAMD require slightly different runtime options than
the regular builds. Please e-mail us if you have any problems.

- Abhinav



On Mon, Aug 29, 2011 at 11:10 AM, Bennion, Brian
<Bennion1 AT llnl.gov>
wrote:


Hello,

I would like to build the proper version of charm++ for our linux
clusters in order to use NAMD2.8

Based on the specs listed on this website, which build parameters
would give me the best charm++ performance

https://computing.llnl.gov/?set=resources&page=OCF_resources#sierra

In the past, i have built namd/charm++ but the nodes then had only a
handful of cpus, now they are a bit more complicated.

Any suggestions would be helpful.


brian bennion

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--
Abhinav Bhatele
Postdoctoral Research Staff Member
Center for Applied Scientific Computing
Lawrence Livermore National Laboratory






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