HPC Workshops

The Division of Information Technology at the University of Maryland has been offering workshops on various High Performance Computing topics since the debut of our "HPC Programming Bootcamp" in 2010. In 2019 and 2020, we have expanded our offerings, trying to make the offerings more varied to better fit the range of needs of our researchers on the cluster; for new users we are offering a series of introductory workshops.

This page presents an overview of the various offerings. Click on the Workshop name for more information.

Workshop Name	Description	Target Audience	Cost	Length	Frequency
Introduction to High Performance Computing	This is an introductory workshop covering: general HPC concepts accessing the cluster transferring files submitting jobs	new users to the Zaratan or Juggernaut clusters	free	half-day	multiple times a year
Introduction to Unix	This introductory workshop covers: Linux/Unix commands, shell scripting, accessing data in various formats on Unix.	users with no or limited Linux/Unix experience	free	half-day	multiple times a year
Introduction to Compiling Software	This introductory workshop covers: installed compilers & MPI libraries, build tools, Makefile rules, building singularity containers.	users with basic Linux/Unix experience	free	half-day	multiple times a year
Introduction to Python	This introductory workshop covers: development environments for Python, installing Python packages, multi-threaded & multi-process applications.	users with basic knowledge of Python	free	half-day	multiple times a year
Introduction to Parallel Computing	This introductory workshop covers parallelization techniques with focus on openMP for multithreaded and MPI for multi-process applications.	users with basic Linux/Unix experience	free	half-day	multiple times a year
Introduction to HPC Workshop Series	This workshop series covers most topics of the above introductory workshops, stretched over several weeks.	users with no or limited Linux/Unix experience	free	2 hours per session	Fall & Spring semesters
HPC Programming Bootcamp	An intense introduction to the concepts of programming on HPC systems, including profiling, optimization, multithreaded programming using OpenMP, and a very brief discussion of distributed memory parallelism and MPI.	advanced users with programming skill	modest cost	4 days	once or twice a year
Parallel Computing with MATLAB	This workshop covers using parallel processing paradigms within MATLAB, especially using the Parallel Computing Toolbox, and sending tasks to the HPC cluster using Parallel server.	MATLAB users, especially those on HPC clusters	free	half-day	once or twice a year
MATLAB ML/Stat and DL Toolboxes	This workshop covers MATLAB tools for implementing and processing Machine-Learning/Statistics and Deep-Learning workloads.	MATLAB users, especially those on HPC clusters	free	half-day	once or twice a year
Deep-Learning Workshop	This workshop introduces methods and tools for processing Deep-Learning workloads on multiple GPUs.	Users with basic Python knowledge.	free	full-day	once or twice a year