The CTP Linux Cluster currently contains one head node and 36 computing nodes. Thirty four computing nodes (node01-node34) have two Intel Xeon E5 processors interconnected with 10GbE network and 128 Gb RAM memory each. Computing nodes 35 and 36 are composed as four nodes each assembled in a single box.
Twenty eight computing nodes (node09-node36) are augmented by graphics processing units (GPUs) NVIDIA Tesla Kepler K20 that provides significant improvement of the computational capabilities. The GPU CUDA 6.0 compiler and libraries are installed on these nodes.
The following software is also installed on the Cluster:
The latest GCC compiler with Open MPI parallel libraries and latest Python distribution are available on the Cluster via the module system. For comprehensive documentation on the module system, follow this link: Module manual.
The Cluster can be accessed through internet from inside and outside the College. The Cluster address is: ctp.citytech.cuny.edu.
The CTP cluster is using Torque as the queuing system. To submit a job to the queue, you need to create a command file (a submission script). Basic examples of the scripts for serial and parellel jobs can be found on the head node of the cluster in the directory /usr/local/share/torque/examples/.
The job submission command is
To see the jobs submitted to the queue, use
For the advanced usage, please see the following link: Torque reference guide.
Files can be transferred to and from the Cluster with standard scp or rsync commands from Linux and Mac OSX operating systems. On Windows system, users need to install one of freely available sftp clients (for example, WinSCP).
With any question about access or submitting jobs on the cluster, contact the CTP Computing Cluster Team:
Dr. German Kolmakov Physics Department Phone: 718-260-5329 Email: email@example.com
Dr. Ilya Grigorenko Physics Department Phone: 718-260-5279 Email: firstname.lastname@example.org
Please include the following acknowledgment on the materials resulting from the use of CTP resources:
“The author(s) are grateful to the Center for Theoretical Physics of New York City College of Technology for providing computational resources.”
Please, send a copy of the materials to the Cluster administrator.
Copyright (c) 2014 The Center for Theoretical Physics, New York City College of Technology of the City University of New York.