4.4
Beginner
6h
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.
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
Learn to use High Performance Computing (HPC) Systems and solve large computational problems. This course assumes basic famili...Show More
Content
1.
Supercomputers and HPC clusters
4 Lessons
Solve problems in supercomputing history, examples, cluster computing, and its benefits.
2.
Components of a HPC system
5 Lessons
Discover the logic behind HPC components, including nodes for management, computation, storage, and user access.
3.
HPC software stack
5 Lessons
Go hands-on with accessing HPC systems, data transfer, software lists, modules, and job schedulers.
4.
PBS - Portable Batch System
12 Lessons
Grasp the fundamentals of PBS for efficient job management and scripting in HPC systems.
5.
SLURM -Workload Manager
8 Lessons
Solve problems in managing HPC with SLURM, from job execution to dependencies.
6.
Parallel programming - OpenMP
8 Lessons
See how it works to utilize OpenMP for efficient parallel programming with threads and shared memory.
7.
Parallel programming - MPI
5 Lessons
Build on MPI principles, program structures, and practical examples for effective parallel programming.
8.
Parallel programming - GPU and CUDA
4 Lessons
Try out parallel programming with GPUs using CUDA for high-performance applications.
9.
Conclusions and references
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.
Course Author:
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