Research Facilities

  • The School of Computational Science and Engineering (CSE) supports substantial computational facilities related to both education and research.  
    The School is located in the Klaus Advanced Computing Building. It is affiliated with several research centers, initiatives and labs, including:

    • The Institute for Data and High Performance Computing (IDH)
    • Keeneland project
    • FODAVA Center
    • The specialized High Performance Computing (HPC) Laboratory
  • Through industrial partnerships, the HPC Lab operates or supports several state-of-the-art parallel computers and future technologies, which are readily available for teaching and research and provide a diverse collection of resources for algorithmic exploration:  
    • Ion Cluster
      An 8-node, 64-core, GPU-accelerated Torque/Maui cluster consisting of Appro 1424x Twin-Servers (each with 2-socket, Intel X5550 4-core, 24GB RAM, QDR Infiniband, and 2 NVIDIA C1060 cards)
    • Bugs Cluster
      A 6-node, 48-core cluster of Dell PowerEdge 1950 and 2950 servers (each with 2-socket, 4-core, Intel E5420 processors, 16GB RAM) configured with Hadoop
    • Convey FPGA servers
      The HPC Lab also utilizes two Convey HC-1 hybrid-core servers featuring field Programmable Gate Arrays (FPGAs) coupled with multi-core Intel Xeon processors
    • Topaz Cluster
      A 36-node, 288-core cluster of TeamHPC servers (each with 2-socket, 4-core processors)
    • Sun Fire X4470 M2 large memory servers
      Two, dual socket, 8-core Intel Xeon E7-4820 processors with large memory configurations:  

      • 1TB RAM
      • 500GB RAM
    • Intel large memory server
      An Intel Server System QSSC-SR4 with four E7-8870 10-core Intel Xeon processors and 256 GB of RAM, the highest-ranked single-node system on the Graph500 benchmark