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, and operates high-performance, 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 NDSU and certain other higher-education institutions in the state of North Dakota. 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 National Science Foundation Major Research Instrumentation (MRI) Award No. 2019077."

Personnel

Resources

  • Linux-based, high-performance computing (HPC) clusters
  • Researcher-owned compute and storage ("condo") units
  • Permanent and scratch data storage
  • Fast data transfer via Globus and ScienceDMZ
  • Training in advanced research computing and related topics 
  • Consulting on computational approaches, methods, and tools
  • Assistance with computational workflow development
  • Proposal writing assistance and research collaboration

HPC systems

  • Compute clusters: Thunder Prime (AMD CPUs) and Thunder (Intel CPUs; in attrition mode) currently have a combination of >13,000 CPU cores and >100 GPUs. 
  • Parallel filesystems with 2.2PB of combined data storage capacity; IBM tape archival systems of ~12PB combined capacity for data backup.  

External resources

  • National Artificial Intelligence Research Resource (NAIRR Pilotno cost)
  • Argonne Leadership Computing Facility (ALCF; no cost)
  • Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS; no cost)
  • Open Science Grid (OSG; no cost)
  • Other national resources (no cost, usually with certain conditions)
  • Commercial cloud services (contact CCAST for advice)


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
Owned by:
Nick D. in NDSU IT Knowledge Base
Created:
2020-07-21
Updated:
2026-08-11
Sites:
NDSU IT Knowledge Base