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Slater Lab clusters User Guide
Changes in QTP clustersThe summer of 2008, we are upgrading the software, operating system and compilers, on all QTP clusters as most of them are 3 years old. The new version of software and its organization will be the same as used in the UF HPC Center to make it easier to mix the use of both systems in the same project. QTP clusters used LoadLeveler for IBM clusters simu and atanasoff; but these clusters will be dismantled during the summer. QTP linux cluster are managed by the PBSPro resource manager and scheduler. All Linux clusters will be upgraded to new software and at the same time the resource manager and scheduler will be replaced by Torque and Moab respectively, to make the behavior consistent with the UF HPC Center and to prepare for UF wide grid computing and grid scheduling. During the transition the QTP Linux clusters will be managed by two schedulers accesible from two interactive nodes.
Connection to HPCThe new software on the nodes and on linx64 is the same as the software on the HPC center cluster. Thus the lates Intel compilers are available on the new nodes. In addition the large parallel files systems /scratch/ufhpc (30 TB) and /scratch/crn (80 TB) are mounted on linx64 and on the wukong nodes. Thus enabling easier access to the same files when working on a large project using QTP and HPC Center resources. Howver, this connection is over GigabitEthernet and not over InfiniBand. Therefore the performance is good very general file manipulation, but not good enough to store high-intensity scratch files, like integral files for Gaussian. Details about the HPC center cluster can be found at the HPC Center web site. The clusters amun, arwen, haku, ra, surg, ock, wukongArwen was installed in Spring 2004, amun, haku, and ra in Summer 2005, surg Winter 2006, ock in Winter 2007, and wukong in Summer 2008. amun was dismantled to make room for wukong.
Characteristics
The Linux clusters are suited for calculations that require:
The QTP Linux clusters do not have a fast interconnect. For parallel jobs that require many processors to communicate with each other the HPC Center clusters are a better choice.
Commands
Logging in
Scheduling principles
Cluster ownership and usageThe primary use of each QTP cluster is as follows:
A member of QTP can make individual arrangements with the principal investogator of each research group to make use of the cluster for special projects. The HPC Center cluster can be used by any researcher on campus. Prof. Cheng (phase II and Phase III) and Prof. Merz (Phase III) have invested in the HPC Center at the faculty level which gives the jobs submitted by members of their research groups higher priority; QTP has invested at the department/institue level in Phase III, which gives jobs from all members of QTP higher priority. The College of Liberal Arts and Sciences has invested at the college level and this gives an advantage for all researchers in CLAS. |
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a Question? Contact us. Last Updated 6/29/08 |
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