the second option is best because it uses the x86 processor (amd opteron), which is our common distribution. the first option uses the Itanium processor which we dont actively support because we no longer have access to a build machine.
the recon-all stream is not parallelized so you wouldnt benefit from multi-cores or any special parallelization hardware. runtime on the amd cluster would be about 25 hours per subject, and consume a peak of about 2.7GB of ram. each subject consumes around 400MB of hard disk space (budget 500MB per subject). negligible temporary hard disk space is used.
n.
On Wed, 2010-09-22 at 19:17 +0200, daniel geisler wrote:
Dear Freesurfers!
I am a new user of freesurfer and I intend to install it on a HPC system. There are two different systems available (see end of message). Could you please give me a hint which one is best suited wrt hardware and software.
In order to use these systems one also has to state some estimations of the needed resources. In detail, I have to estimate:
- CPU time
- maximal number of parallel used CPUs
- size of used RAM
- size of permanent HDD usage
- size of temporary HDD usage
Could you share some experience how many resources are usually used for the segmentation (recon-all) of a single subject?
Thank you & best wishes from Dresden, Daniel
1.SGI Altix 4700 (Mars)
- For highly parallel and memory-intensive applications
- 2048 cores Intel Itanium II Montecito 1.6 GHz
- 6,5 TB memory
- One partition for interactive operation with 128 cores
- 68 TB SAN disk storage
- 1 PB SAN tape archive
- SuSE Linux Enterprise Server 10, SGI ProPack 5, batch system LSF
- 13,1 TFlop/s peak performance
- Linux Networx Evolocity II PC-Farm (Deimos)
- For capacity computing
- 2576 cores AMD Opteron 2,6 GHz
- 5,4 TB memory
- 724 nodes with 1, 2, or 4 dual-core CPUs each
- 68 TB SAN disk storage
- SuSE Linux Enterprise Server 10, batch system LSF
- 13,9 TFlop/s peak performance
For software specification please refer to: http://tu-dresden.de/die_tu_dresden/zentrale_einrichtungen/zih/hpc/hochleist... _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer