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Center for Computationally Assisted Science and Technology

CCAST provides advanced cyberinfrastructure for computational research and education at NDSU and beyond

Overview

The Center for Computationally Assisted Science and Technology (CCAST, pronounced "c-cast") develops, manages, brokers, and operates high-performance, cloud, and interactive computing resources, and educates researchers on proper and efficient use of the resources and on other topics of interest to the computational science and engineering community. CCAST continually works to enhance NDSU's capabilities and competitive edge in disciplines and research that rely on advanced computing.

We use UNIX/Linux primarily. The basic level of services is FREE of charge to all faculty, staff, and students at NDSUthe tribal colleges and universities in the state of North Dakota, and the primarily undergraduate institutions and Master’s colleges/universities within the North Dakota University System (NDUS). Additional services (for example, dedicated hardware) are available at cost. 

Acknowledging CCASTYou are required to include the following statement (or a close variant) in all research outputs (papers, presentations, theses, etc.) that have used CCAST resources: "This work used resources of the Center for Computationally Assisted Science and Technology (CCAST) at North Dakota State University, which were made possible in part by NSF MRI Award No. 2019077."

Resources

  • Linux-based, high-performance computing clusters
  • Compute and storage condo (i.e., researcher-owned) units
  • Permanent and scratch data storage
  • Fast data transfer via Globus and ScienceDMZ
  • Virtual machines for testing and development
  • Training in advanced research computing and related topics 
  • Consulting and computational workflow development
  • Proposal writing assistance

HPC systems

  • Compute clusters:  >180 nodes (approx. 8,000 CPU cores), including big-memory nodes and general-purpose GPUs 
  • Parallel filesystems with over 1.5PB of combined data storage capacity

External resources

  • Commercial cloud services (Azure, Rescale, and Lancium; contact CCAST)
  • Open Science Grid (OSG; no cost)
  • Extreme Science and Engineering Discovery Environment (XSEDE; no cost)
  • Other national resources (no cost, usually with certain conditions)

Intended Audience

  • Faculty
  • Staff
  • Students

Using This Service

Availability

24/7/365 [*Standard outages]

Support Contact

ndsu.ccast.support@ndsu.edu

Cost

University funded: no charge. 

See Also:




Keywords:service, ccast, computing, hpc, research computing, computational, CCAST, HPC, high performance computing, research computing, NDSU, computational science, machine learning, big data, scientific computing   Doc ID:104188
Owner:Nick D.Group:IT Knowledge Base
Created:2020-07-21 09:38 CDTUpdated:2021-06-25 14:58 CDT
Sites:IT Knowledge Base
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