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High Performance Computing Course

4/5
High Performance Computing Course
4.0 in the evaluation
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

This High Performance Computing Course provides practical skills to design, tune, and operate fast, reliable workloads. Learn workload profiling, CPU and GPU optimisation, data layout and storage strategies, and parallelisation models with MPI, OpenMP, CUDA, and distributed ML. Explore cluster architecture, job scheduling, benchmarking, and real-world trade-offs in cost, security, portability, and maintainability.

Elevify advantages

Develop skills

  • HPC workload profiling: quickly pinpoint CPU, memory, I/O, and GPU bottlenecks.
  • Parallelisation mastery: apply MPI, OpenMP, and GPU offload for faster runtimes.
  • Performance tuning: optimise code, data layout, and I/O for peak HPC throughput.
  • Cluster design skills: choose CPU, GPU, storage, and network for scalable HPC.
  • Benchmarking expertise: build reproducible tests and validate real performance gains.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your lessons are perfect. I purchased the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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