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

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 manage fast, dependable workloads. You will learn about workload profiling, optimising CPU and GPU, data arrangement and storage methods, 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 bottlenecks in CPU, memory, I/O, and GPU.
- Parallelisation mastery: implement MPI, OpenMP, and GPU offloading for quicker execution times.
- Performance tuning: refine code, data layout, and I/O to achieve maximum HPC efficiency.
- Cluster design skills: select CPU, GPU, storage, and network components for scalable HPC systems.
- Benchmarking expertise: create repeatable tests and confirm actual performance improvements.
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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