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The Texas Southern University High Performance Computing Center (TSU-HPCC) promotes research and teaching by integrating leading edge, high-performance computing and visualization for the faculty, staff, and students of Texas Southern University, as well as advance disciplinary diversity, partnerships, and excellence. Additionally, our secondary mission is to partner with and promote research at underrepresented Universities across the state of Texas.
The HPCC will facilitate research and aid in educational advancement by integrating leading edge, high-performance computing and visualization to individual administrative units, as well as multidisciplinary units across campus. The Center will embrace this disciplinary diversity by creating partnerships across the department and colleges of Texas Southern University and additionally with underrepresented universities across the state of Texas. The center will ensure that Texas Southern University obtains and retains superior computing and visualization facilities for the present and future of the University.
Department of Physics
TECH 230
Texas Southern University
3100 Cleburne Avenue, Houston TX 77004
tel: (713) 313.1849
You can download the brochure here.
Anish Patel
The HPCC provides consulting and assistance to campus researchers with experimental software and/or hardware needs. We also provide training in parallel and grid computing. HPCC serves as a liaison between various teams that are engaged in research. We work to support, configure and port applications to HPCC resources and experimental software/hardware.
The High Performance Computing Center (TSU-HPCC) at TSU was established in 2008 to promote research and training on campus through integrating leading edge high performance computing and visualization for the faculty, staff and students of TSU
TSU-HPCC provides consulting and assistance to campus researchers with experimental software and/or hardware needs and training in parallel and grid computing. Central to HPCC is a Linux cluster that was built in several stages with funding from Title III and a NSF Major Research Instrumentation grant. Starting January 2014, the TSU-HPCC is hosted in a dedicated data center room in the new Technology Building at TSU. The 672 sq. ft. data center room is powered by 205V circuit with a total deliverable power of 88 kW, is cooled by three 20-ton Liebert DS077DD AC units and it has a Saphire fire protection system. The HPCC cluster has 54 compute nodes with dual quad-core and 12-way cores Intel Xeon hyper-threaded processors, with a total of 944 cores. Therefore, the cluster is capable of running 944 independent computing threads. The total RAM memory of the cluster is 892 GB and the total storage capacity is 30 TB, which includes local hard drive space and three NAS storage units. The cluster is accessible through a front node and a secondary front end. All nodes communicate through a 1Gb management network and also a high- speed, low-latency cupper 10 Gb production network. Management network is served by 3 Cisco switches, while the production network is served by 2 Arista switches. The cluster is administered centrally by the cluster management software Rocks and is instrumented by a variety of software stacks, compiler (C, Fortran), communication libraries (MPI, OpenMP, Condor), and domain specific software like R, Mathematica, Matlab, Comsol and MrBayes. The peak performance of the cluster as measured by Linpack benchmarks is 1.75 TFlops.
The cluster was extended in the Spring of 2014 with 8 new “super-node” units based on an architecture that includes 4 Intel Xeon processors and 4 Intel Xeon Phi Co-processors with the goal of maximizing the computational density for each node and reducing the power consumption per flop. The theoretical performance for each node is estimated to be 4 TFlops. We are currently running Hadoop in this cluster for Big Data research. The cluster is also used for large computations for Quantum Chemistry, Plasma simulations, Advanced Digital Signal Processing and Computer Vision.
High Performance Computing Lab in Technology Building
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