CCAST Advanced Research Computing Training Session (Conference/Workshop/Seminar)
FREE training sessions offered by the NDSU Center for Computationally Assisted Science and Technology (CCAST)
Please register by January 15, 2019!
The Center for Computationally Assisted Science and Technology (CCAST) is conducting a series of training sessions to introduce advanced research computing to NDSU faculty, staff, and students. This training series also aims to provide researchers with the basic knowledge to make the best use of local and national high-performance computing (HPC) resources and ultimately to advance their research capabilities.
The training events, offered every other Thursday from 2:00–4:00 p.m. in Quentin Burdick Building (Room 132), will include lectures, demonstrations, and hands-on sessions where participants have opportunities to run simple and not-so-simple programs on CCAST’s HPC clusters. No prior knowledge of advanced computing and computer programming is needed!
The schedule for Spring 2019 is as follows:
Jan. 17: Introduction to HPC, HPC resources at NDSU (and elsewhere)
Jan. 31: Linux for HPC: Working with a Linux system, command-line basics
Feb. 14: How parallel programs work? Ensemble computing, OpenMP, and MPI
Feb. 28: How parallel programs work? Parallel computing using MPI
Mar. 28: How to get your work done faster? Parallel scaling performance
Apr. 11: Linux for HPC: Text processing and shell scripting
Apr. 25: Introduction to machine learning using TensorFlow
The training is FREE and open to the entire NDSU community; however, space is limited to 24 seats per session and pre-registration is required. Please register by January 15, 2019 by emailing firstname.lastname@example.org the following information: first and last names, e-mail address, department/division, current status (faculty, staff, or student), and the sessions you would like to attend.
Prospective participants may register for any training sessions they are interested in; however, registering and attending the entire series is strongly recommended because the sessions are sequential. Those who already have significant experience working with Linux environment and with CCAST’s Thunder cluster may skip the session on Jan. 31.
For more information about CCAST, go to www.ccast.ndsu.edu
Khang Hoang email@example.com
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