Advanced Research Computing Training Program

FREE training workshops offered by CCAST/NDSU. Pre-registration is required!

CCAST is offering free training workshops to introduce faculty, staff, and students to advanced research computing. The workshops provide researchers with knowledge and hands-on skills to properly and efficiently use high-performance computing (HPC) resources available at NDSU and beyond.

For Fall 2026, we offer four workshops, all in person:

Workshop 1: Introduction to advanced research computing
Wednesday, October 7, 2026, 1:00–3:00 PM (in-person, AG HILL 240)

Workshop 2: Linux for HPC, job submission, and troubleshooting
Friday, October 9, 2026, 1:00–3:00 PM (in-person, AG HILL 240) 

Workshop 3: Getting your work done (faster) on CPUs and GPUs
Wednesday, October 14, 2026, 1:00–3:00 PM (in-person, AG HILL 240)

Workshop 4: Running Python on HPC clusters
Friday, October 16, 2026, 1:00–3:00 PM (in-person, AG HILL 240)

These workshops will cover the following topics:

  • Introduction to high-performance computing (HPC)

  • Anatomy of a supercomputer

  • Parallel computing concepts and batch schedulers

  • Data storage and access on HPC systems

  • Logging into CCAST systems and submitting jobs

  • Linux/UNIX command-line basics

  • Finding available scientific software

  • Requesting and using CPU and GPU resources

  • Profiling and optimizing CPU and GPU performance

  • Setting up Python environment and running Python jobs

Register HERE

   

*CCAST provides advanced research computing resources, training, and consulting to faculty, students, and staff at NDSU and beyond. The research we enable spans a broad range of disciplines, including science, engineering, agriculture, public health, business, finance, etc.



Keywords:
ccast, hpc, training, linux, unix, computing, "research computing", "advanced research computing", "high performance computing", "parallel computing", "scientific computing", workshop 
Doc ID:
107964
Owned by:
Khang H. in NDSU IT Knowledge Base
Created:
2020-12-17
Updated:
2026-09-11
Sites:
NDSU IT Knowledge Base