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Facilities

Kennesaw State University HPC Facilities and Resources (Fall 2023)

The Kennesaw State University HPC computing resources represent the University’s commitment to research computing.  The KSU HPC is a RedHat Linux based cluster that offers a total capacity of over 50 Teraflops to KSU faculty researchers and their teams.  The cluster consists of around 50 nodes with 118 processors having 1,704 cores (excluding GPU cores) and 16.7 TB RAM and has both CPU and GPU capabilities.  There are queues available for standard, high memory and GPU jobs.  The HPC is built on a fast network for data and interconnect traffic.  A large storage array is provided for user home directories and a fast storage is available for use during job runtime.  Power for Cooling and Servers is backed by battery systems and natural gas generators.  On and off campus access to the cluster is allowed only through secure protocols.  
 
Software is provided through environment modules to help provide versions of the same software and avoid conflicts with dependencies.  There are 150 software programs available that include titles for Astronomy, Biology, Chemistry, Math, Statistics, Engineering and programming languages.  Some popular titles include: Gaussian, MATLAB, Mathematica, R, TensorFlow, COMSOL, HH-Suite, MAFFT, LAMMPS, OpenFoam, PHYLIP and Trinity.  There is cluster management and job scheduling software used to provide free access to this shared resource.

KSU has established a high-speed pathway to Internet2 and other heavily used commercial content providers.  Kennesaw and Marietta campuses are now directly connected through SoX to Internet2 and have established connections for both the Regional Research and Education Networks (R&E) routes and Internet2 Peer Exchange (I2PX) routes. The current connection speed is 10Gb/s. This connection will allow for rapid sharing of large amounts of data between KSU and other participating research institutions worldwide.  This implementation is now available to on-campus researchers and traffic that can be routed through this connection will be done automatically. 

Kennesaw State University recommends that users of the university-level HPC include
the following acknowledgement statement: “This work was supported in part by research
computing resources and technical expertise via a partnership between Kennesaw State
University’s Office of the Vice President for Research and the Office of the CIO and Vice
President for Information Technology [1].” and cite using the appropriate citation format.


HPC Cluster Node Details

  • queue
    CPUs
    Cores
    RAM(GB)
  • batch 34-51
    2 Xeon Gold 6148 (2.4 GHz)  
    40
    192
  • batch 52-70
    2 Xeon Gold 6126 (2.6 GHz)  
    24
    192
  • batch 71-77
    4 Xeon Gold 6226 (2.70 GHz) 
    48
    768
  •  
     
     
     
  • himem 78
    4 Xeon Gold 6226 (2.70 GHz)
    48
    1,537
  •  
     
     
     
  • gpu 79-82
    GPU: 4 NVidia V100S
    5,120 cores each
    768
  •  
     
     
     
  • Total (47 nodes)
    118
    1,704
    16,705


Previous Facilities Statements:

  • Kennesaw State University HPC Facilities and Resources

    Authors:

    Tom Boyle, Data Compliance and Computing Operations, Center for Research Computing,
    Kennesaw State University, tboyle@kennesaw.edu

    Dr. Ramazan Aygun, Director of Center for Research Computing, Associate Professor,
    Department of Computer Science, College of Computing and Software Engineering, Kennesaw
    State University, raygun@kennesaw.edu

         The Kennesaw State University HPC computing resources represent the University’s
    commitment to research computing. The KSU HPC is a RedHat Linux based cluster that offers a
    total capacity of over 50 Teraflops to KSU faculty researchers and their teams. The cluster
    consists of around 50 nodes with 120 processors having 1768 cores (excluding GPU cores) and
    12.8TB RAM and has both CPU and GPU capabilities. There are queues available for standard,
    high memory and GPU jobs. The HPC is built on a fast network for data and interconnect traffic.
    A large storage array is provided for user home directories and a fast storage is available for use
    by each node during job runtime. Power for Cooling and Servers is backed by battery systems
    and natural gas generators. On and off campus access to the cluster is allowed only through
    secure protocols and utilizes Duo Authentication.

         Software is provided through environment modules to help provide versions of the same
    software and avoid conflicts with dependencies. There are around 200 software programs
    available that include titles for Astronomy, Biology, Chemistry, Math, Statistics, Physics,
    Engineering and programming languages. Some popular titles include: Gaussian, MATLAB,
    Mathematica, R, TensorFlow, COMSOL, LS-DYNA, HH-Suite, MAFFT, LAMMPS,
    OpenFoam, PHYLIP and Trinity. There is cluster management and job scheduling software used
    to provide free access to this shared resource.

         Kennesaw State University recommends that users of the university-level HPC include
    the following acknowledgement statement: “This work was supported in part by research
    computing resources and technical expertise via a partnership between Kennesaw State
    University’s Office of the Vice President for Research and the Office of the CIO and Vice

  • The Kennesaw State University HPC computing resources represent the University’s commitment to research computing. The KSU HPC is a RedHat Linux based cluster that offers a total capacity of over 50 Teraflops to KSU faculty researchers and their teams. The cluster consists of over 50 nodes with 110 processors having 1512 cores (excluding GPU cores) and 10.3TB RAM and has both CPU and GPU capabilities. There are queues available for standard, high memory and GPU jobs. The HPC is built on a fast Infiniband network for data and interconnect traffic. A large storage array is provided for user home directories and a fast storage is available for use during job runtime. Power for Cooling and Servers is backed by battery systems and natural gas generators. On and off campus access to the cluster is allowed only through secure protocols.

    Software is provided through environment modules to help provide versions of the same software and avoid conflicts with dependencies. There are 150 software programs available that include titles for Astronomy, Biology, Chemistry, Math, Statistics, Engineering and programming languages. Some popular titles include: Gaussian, MATLAB, Mathematica, R, TensorFlow, COMSOL, LS-DYNA, HH-Suite, MAFFT, LAMMPS, OpenFoam, PHYLIP and Trinity. There is cluster management and job scheduling software used to provide free access to this shared resource.

    Kennesaw State University recommends that users of the university-level HPC include the following acknowledgement statement: “This work was supported in part by research computing resources and technical expertise via a partnership between Kennesaw State University’s Office of the Vice President for Research and the Office of the CIO and Vice President for Information Technology [1].” and cite using the appropriate citation format.



 

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