Research Computing Spring Training 2026
The Research Computing team is excited to bring HPC users (and prospective users) the opportunity to attend live virtual training. Attending these live training sessions allows users a chance to interact with the RC team and ask questions while training is happening. Each session is scheduled for one hour, broken into approximately 45 minutes of instruction and interactive exercises, followed by 15 minutes at the end for questions.
To learn more about RC Spring Training and register for training sessions, click the button below.
Explorer Training
Introduction to GPUs on the Explorer Cluster
Learn how to use the GPUs on the Explorer Cluster. RC’s Research Computing Specialist, Arsalan Akhter, will discuss three ways one can use the GPUs on the Explorer cluster, as well as how to find out which GPUs are available for users (and free) at any given moment.
Training Materials
Using Explorer for Courses: Part 1
The Explorer cluster provides high-performance computing for Research and Courses. This training covers the resources available to course instructors.
Training Materials
Using Explorer for Courses: Part 2
The Explorer cluster provides high-performance computing for Research and Courses. This training covers the resources available to course instructors.
Training Materials
Classroom Facilitation for Students and Instructors
The Explorer cluster provides high-performance computing for Research and Courses. This presentation covers how to use the resources available to students and instructors with classroom access to the Explorer HPC Cluster.
Training Materials
Conda for Courses
The Explorer cluster provides high-performance computing for Research and Courses. This training covers how instructors can use Conda in their courses.
Training Materials
Conda for Research
Anaconda (Conda) provides package, dependency, and environment management for any language. Learn more about Conda, and view a demonstration of building a Conda environment in /projects on the Explorer cluster.
Training Materials
Increase the Productivity of your JupyterLab Notebook
Learn how to increase the productivity of your JupyterLab Notebook using an sbatch script. RC’s Bioinformatician, Serena Caplins, PhD, will show you how to convert your JupyterLab notebook to a Python script, create an sbatch script, and run your Python script in the sbatch script.
Training Materials
Join the RC Training Course
All previously recorded Research Computing training sessions have been added to the Research Computing Training Course in Canvas. Once you’ve clicked the link to enroll, you will need to log in using your Northeastern credentials.
The RC training sessions cover a wide range of topics and skill levels and offer you the opportunity to explore training sessions at your own pace, in the areas that you’re most interested in (e.g., Linux & Shell Scripting, Slurm Arrays, Software Installation, GPUs, Bioinformatics, Deep Learning, LAMMPs). You will be able to perform hands-on training exercises by accessing RC files shared on GitHub repositories.
How Can Research Computing Support You?
Accelerate your research at any stage by leveraging our online user guides, hands-on training sessions, and one-on-one guidance.
