Updated 27 Aug
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Learn to Use HPC Systems and Supercomputers
Gain insights into using HPC systems and supercomputers to solve large computational problems. Explore HPC components, software stacks, job schedulers, and parallel programming, including Open MP, MPI, and GPU coding.
53 lessons
6h
Created by Scientific Programmer
What's included
- 53 lessons across 9 modules
- AI Tutor on every lesson
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What You'll Learn
- Identify key milestones in supercomputing history and relate them to modern HPC systems
- Differentiate HPC clusters from traditional supercomputers and explain when clusters are beneficial
- Describe HPC cluster components and roles of login, compute, master, and storage nodes
- Access institutional HPC systems via SSH keys and VPN, and manage secure data transfers (SCP, FTP, wget)
- Use environment modules to list, load, and configure HPC software and compiler environments
- Submit, monitor, and control batch jobs in PBS and Slurm using core commands and job scripts
- Develop and run basic parallel programs using OpenMP, MPI, and CUDA (hello world, vector addition)
Learning Roadmap
1.
Supercomputers and HPC clusters
Supercomputers and HPC clusters
Solve problems in supercomputing history, examples, cluster computing, and its benefits.
2.
Components of a HPC system
Components of a HPC system
Discover the logic behind HPC components, including nodes for management, computation, storage, and user access.
3.
HPC software stack
HPC software stack
5 Lessons
5 Lessons
Go hands-on with accessing HPC systems, data transfer, software lists, modules, and job schedulers.
4.
PBS - Portable Batch System
PBS - Portable Batch System
12 Lessons
12 Lessons
Grasp the fundamentals of PBS for efficient job management and scripting in HPC systems.
5.
SLURM -Workload Manager
SLURM -Workload Manager
8 Lessons
8 Lessons
Solve problems in managing HPC with SLURM, from job execution to dependencies.
6.
Parallel programming - OpenMP
Parallel programming - OpenMP
8 Lessons
8 Lessons
See how it works to utilize OpenMP for efficient parallel programming with threads and shared memory.
7.
Parallel programming - MPI
Parallel programming - MPI
5 Lessons
5 Lessons
Build on MPI principles, program structures, and practical examples for effective parallel programming.
8.
Parallel programming - GPU and CUDA
Parallel programming - GPU and CUDA
4 Lessons
4 Lessons
Try out parallel programming with GPUs using CUDA for high-performance applications.
9.
Conclusions and references
Conclusions and references
2 Lessons
2 Lessons
Discover the logic behind using HPC systems, key commands, and essential references.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
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About this course
WHY I WROTE THIS COURSE
Learn to use High Performance Computing (HPC) Systems and solve large computational problems. This course assumes basic familiarity with the Bash command line environment found on GNU/Linux and other Unix-like environments. This course is of the first of its kind, should be your second step from my previous Educative course "Learn to Analyze Text Data in Bash Shell and Linux"
You'll learn:
- Intro to HPC Systems and Supercomputers
- HPC system's basic components
- HPC software stack
- HPC job schedulers and batch systems (PBS and Slurm with demos)
- Introduction to parallel programming (Open MP, MPI and GPU coding)
Video demos are included, I think it is a must have course for students, researchers, big data analysts, and developers. It will help you to utilize High Performance Computing systems at your institution. Non-interactive course. More details at: www.scientificprogramming.io/learn-hpc
ABOUT THE AUTHOR
Scientific Programmer
Creating awareness and opportunities through developing courses and educational tools in High Performance Data & Computational Sciences.
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