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 and scalable computing solutions.

4.0 rating
4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
This High Performance Computing Course equips you with 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.What our students say
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I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.

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