Find tools for computing success in education and in research

Wichita State students and faculty have access to a wide range of computational resources, locally and through regional and national partnerships. Make the most of these powerful tools to boost your research and projects at no cost.

Local resources:

If you are new to HPC, the best resource to start with is BeoShock HPC system. Once you educate yourself about HPC and your computing needs grow, you are welcome to explore the following large-scale computing clusters.

Regional resources:

  • Pete – Oklahoma State University: The Pete Supercomputer at Oklahoma State University offers advanced computational resources and data storage, accessible to students and faculty at WSU to support diverse research initiatives.
  • New computing resource coming soon
    This is an outcome of a collaborative effort among Wichita State University, Oklahoma State University and six other institutions in the OAK region, resulting in the MRI award for the “Acquisition of a High-Performance Computational System for OAK Region to Enable Computing and Data-Driven Discovery.”
  • BeoCat – Kansas State University: Beocat, a high-performance computing cluster at Kansas State University operated by the Institute for Computational Research, offers free access to any educational researcher in Kansas and their collaborators.

National resources:

  • Open Science GridThe Open Science Grid facilitates high-throughput computing, enabling the parallel execution of numerous tasks or simulations that demand substantial computational resources over extended periods.
  • ACCESSACCESS (Advanced Cyberinfrastructure Coordination EcosystemServices & Support) supports computational- and data-intensive research with resources like HPC clusters, virtualization clusters and massive storage clusters. For account creation and resource information, contact Figy at terrance.figy@wichita.edu.
  • NRPThe National Research Platform (NRP) is a heterogeneous, nationally distributed, open system that includes different types of processors: standard CPUs, GPUs optimized for different precision levels and FPGAs. It has two types of setups at three locations: one for high-performance tasks and two optimized for specific types of GPUs. This setup supports various tasks like data science, simulations and machine learning or AI. It also allows easy data access through a large, connected network that shares content across the country.