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High Performance Computing Course

High Performance Computing Course
flexible workload from 4 to 360h
valid certificate in your country

What will I learn?

This High Performance Computing Course gives you practical skills to design, tune, and operate fast, reliable workloads. Learn workload profiling, CPU and GPU optimization, data layout and storage strategies, and parallelization 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.
  • Parallelization mastery: apply MPI, OpenMP, and GPU offload for faster runtimes.
  • Performance tuning: optimize 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 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

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Very great course. Lots of valuable information.
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