High Performance Computing Course
4/5
This course provides hands-on training in high performance computing, covering profiling, parallelization, tuning, cluster design, and benchmarking to build efficient and scalable systems.

4.0 in rating
flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This High Performance Computing Course equips you with practical skills to design, tune, and manage fast, dependable workloads. You will learn about workload profiling, optimising CPU and GPU, data arrangement and storage approaches, and parallelisation techniques using MPI, OpenMP, CUDA, and distributed machine learning. Delve into cluster setups, job scheduling, benchmarking, and practical considerations in cost, security, portability, and upkeep.
Elevify advantages
Develop skills
- HPC workload profiling: swiftly identify CPU, memory, I/O, and GPU bottlenecks.
- Parallelisation mastery: implement MPI, OpenMP, and GPU offloading for quicker execution times.
- Performance tuning: refine code, data layout, and I/O for maximum HPC efficiency.
- Cluster design skills: select CPU, GPU, storage, and network for scalable HPC systems.
- Benchmarking expertise: create repeatable tests and confirm actual performance improvements.
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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Giulio CarloDigital Marketing Student
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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The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

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