High Performance Computing Course
Master high performance computing to run faster simulations, optimize GPU/CPU workloads, and scale clusters with confidence. Learn profiling, parallelization, tuning, and benchmarking to boost throughput, cut costs, and deliver reliable, production-grade performance.

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.What our students say
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