hpc.caltech.edu

HPC at Caltech

CITerra/Fram New User Guide. NeuroEcon New User Guide. We are running clusters on a variety of types of hardware and even in the cloud. We do prefer to use specific vendors and hardware types, as we have found that this approach helps us with standardizing and monitoring of the clusters we maintain. If you need help getting tarted with a cluster, need computational resources and don’t know where to go, or just have some questions, let us know. Proudly powered by WordPress.

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HPC at Caltech | hpc.caltech.edu Reviews

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CITerra/Fram New User Guide. NeuroEcon New User Guide. We are running clusters on a variety of types of hardware and even in the cloud. We do prefer to use specific vendors and hardware types, as we have found that this approach helps us with standardizing and monitoring of the clusters we maintain. If you need help getting tarted with a cluster, need computational resources and don’t know where to go, or just have some questions, let us know. Proudly powered by WordPress.

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HPC at Caltech | hpc.caltech.edu Reviews

https://hpc.caltech.edu

CITerra/Fram New User Guide. NeuroEcon New User Guide. We are running clusters on a variety of types of hardware and even in the cloud. We do prefer to use specific vendors and hardware types, as we have found that this approach helps us with standardizing and monitoring of the clusters we maintain. If you need help getting tarted with a cluster, need computational resources and don’t know where to go, or just have some questions, let us know. Proudly powered by WordPress.

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hpc.caltech.edu

1

Scheduler help | HPC at Caltech

http://hpc.caltech.edu/help/hpcc-training

CITerra/Fram New User Guide. NeuroEcon New User Guide. User commands for the scheduler. Submit a job script to the queue. View a running job. Delete Job from the queue. Check a running or pending job. Show the queue status. LSF: qstat -a or bjobs -r -u all. Modify a pending job. Change a pending job’s queue. LSF: bmodify -q queue jobid. Moab/Torque: qmove queue jobid. LSF: #BSUB -n number. Moab/Torque: #PBS -l nodes= number. LSF: #BSUB -w hours:minutes. Moab/Torque: #PBS -l walltime= hours:minutes:seconds.

2

November | 2011 | HPC at Caltech

http://hpc.caltech.edu/2011/11

CITerra/Fram New User Guide. NeuroEcon New User Guide. Monthly Archives: November 2011. CITerra upgrade to take place in early December. November 11, 2011. The CITerra cluster will be composed of 254 traditional computes nodes. Each has 12 cores and 4 GB of RAM per core. The whole cluster will be connected with a low latency, high bandwidth network called infinibad. In addition to … Continue reading →. Comments Off on CITerra upgrade to take place in early December. November 11, 2011.

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February | 2009 | HPC at Caltech

http://hpc.caltech.edu/2009/02

CITerra/Fram New User Guide. NeuroEcon New User Guide. Monthly Archives: February 2009. Ibrix filesystem has been upgraded to 3.1 on CITerra. February 23, 2009. Over the last 2 weeks we have been upgraded the filesystem on the CITerra cluster. This has been completed and the cluster is back online. This will hopefully solve the quota and dangling entry problems we have seen in the … Continue reading →. Comments Off on Ibrix filesystem has been upgraded to 3.1 on CITerra. Proudly powered by WordPress.

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Clusters | HPC at Caltech

http://hpc.caltech.edu/clusters

CITerra/Fram New User Guide. NeuroEcon New User Guide. Here are some of the clusters we have built or maintain. We have a few more in building or planning stages as of now. Dual hex core 2.67 GHz processors. 48GB RAM per node. Mellanox QDR infiniband interconnect. 180 Nvidia M2090 GPGPUs. 15 TB total distributed memory. 3Login nodes, 1 Head node. Round Robin DNS to access the login nodes. 500 TB Lustre Filesystem. 2 MDS, 4 OSS. Rocks 5.4.3 with Torque/Maui. 60 Dell Poweredge C6220 II. Rocks 6.1.1. 12 Del...

5

CITerra/Fram New User Guide | HPC at Caltech

http://hpc.caltech.edu/support/citerrafram-new-user-guide

CITerra/Fram New User Guide. NeuroEcon New User Guide. CITerra/Fram New User Guide. Fram is a high performance computing cluster built for the Geology and Planetary Sciences division at Caltech. It is the latest of many clusters used by the division for analysis and simulation in the earth sciences. 314 HP SL390 Compute Nodes of which 60 are GPU enabled. 12 cores avaiable on each node (hyper-threading disabled). Processors: Dual Westmere X5650 processors running at 2.67 Ghz. 180 M2090 GPUs total. Fram wa...

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High Performance Coatings is a Canadian owned and operated distributor of quality industrial coatings. We provide a diverse range of finishes, including: Endura Polyurethane, HPC Industrial Enamels, PPG Industrial Coatings, Amercoat, Sigma, Hempel Epoxy Tank Linings, Dampney High Heat Coatings and complete line of related supplies.

hpc.caltech.edu

HPC at Caltech

CITerra/Fram New User Guide. NeuroEcon New User Guide. We are running clusters on a variety of types of hardware and even in the cloud. We do prefer to use specific vendors and hardware types, as we have found that this approach helps us with standardizing and monitoring of the clusters we maintain. If you need help getting tarted with a cluster, need computational resources and don’t know where to go, or just have some questions, let us know. Proudly powered by WordPress.

hpc.cam.ac.uk

High Performance Computing

Skip to primary navigation. Events and open days. Student blogs and videos. Executive and professional education. How the University and Colleges work. Term dates and calendars. Email and phone search. The Darwin cluster Overview. Availability and planned maintenance. Using the Clusters Overview. Job scheduling updates for August 2015. Connecting to HPCS systems. User environment and modules. Compiling and development Overview. Parallel programming: an MPI example. Long and very long jobs. The November 2...

hpc.canterbury.ac.nz

UC High Performance Computing - University of Canterbury - New Zealand

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hpc.cc.columbia.edu

High Performance Computing

Shared Research Computing Facility. Columbias centrally-managed High Performance Computing (HPC) resources on the Morningside campus are housed in the Shared Research Computing Facility (SRCF), which consists of a dedicated portion of the university data center. A project to upgrade the electrical infrastructure of the data center was completed in Summer 2013*. In addition, ongoing green data center initiatives. The SRCF is governed by the Shared Research Computing Policy Advisory Committee (SRCPAC).