High Performance Computing Course
4/5
This course provides hands-on training in high performance computing, covering profiling, optimization, parallel programming, and cluster management to build efficient, scalable systems.

4.0 in the evaluation
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This High Performance Computing Course equips you with practical skills to design, tune, and run fast, reliable workloads. You'll learn about workload profiling, CPU and GPU optimisation, data layout and storage strategies, and parallelisation models using MPI, OpenMP, CUDA, and distributed machine learning. You'll also 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 identify 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: select CPU, GPU, storage, and network for scalable HPC.
- Benchmarking expertise: create 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.What our students say
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