The Center for Computationally Assisted Science and Technology (CCAST; pronounced "c-cast") provides advanced cyberinfrastructure for research and education at NDSU and beyond. CCAST 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 is the largest academic supercomputing facility in the state of North Dakota, with more than 12,000 CPU cores and dozens of GPUs. The Center also manages research data storage systems totaling 10 petabytes of capacity. In addition, CCAST has rigorous training and internship programs in advanced research computing. In the past four years, CCAST has trained over 600 students, staff, and faculty at NDSU and at other institutions in North Dakota, and has provided internships to more than 40 students. 

We continually work to enhance NDSU's capabilities and competitive edge in disciplines and research that rely on advanced computing.

Click here for more information or see some of our knowledge base articles.

• 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

• CCAST Advanced Research Computing Training, Fall 2024
• Multiple CCAST users among world's top-cited scientists
• CCAST featured in Ohio Supercomputer Center's article
• 2023 Conference on Computational Science announced
• CCAST-enabled research makes front-page news in The Forum
• Recent scientific discovery made possible by using CCAST
• Research publications enabled by the use of CCAST resources
• NDSU receives NSF award for new supercomputing cluster

• Computational fluid modeling of floods
• Predicting OLED properties using advanced relativistic DFT calculations
• Financial, economics, and business analytics
• Future farming by artificial intelligence, robotic, and cloud computing
• Increasing pulse crop productivity using genomics, phenotyping, and modeling
• Multiscale modeling of complex nanosheet materials
• Computational methods for motif discovery in biological units
• Mapping and cloning disease resistance genes in barley and wheat
• Computational intelligence
• Predictive modeling and analytics for preventive health application
• Identification of multi-omic marker associations in pancreatic cancer
• Dynamics of photoexcited nanomaterials
• Genomic basis of fetal programming in beef cattle
• Modeling light-driven processes at the surfaces and interfaces of nanomaterials
• Predicting the glass transition temperature behavior of polymers 

Email: ndsu.ccast.support@ndsu.edu

Phone: (701) 231-5184

Book a meeting with CCAST staff 
for any of the following:

• Technical support
• Research support
• Proposal writing support
• On-site visit

8:00 AM - 4:00 PM, Monday - Friday

In-person meetings by appointment only.

Research Park
Research 2 Building, Room 220
1805 NDSU Research Park Drive N
Fargo, ND 58102

Main Campus
Quentin Burdick Building, Room 242
1320 Albrecht Blvd N
Fargo, ND 58105

Mailing Address
P.O. Box 6050 Dept. 4100
Fargo, ND 58108-6050