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High Performance Computing Course

High Performance Computing Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

Gain hands-on expertise in designing, optimising, and managing high-speed, dependable computing workloads. Master profiling techniques, CPU/GPU enhancements, efficient data storage methods, and parallel processing using MPI, OpenMP, CUDA, plus distributed machine learning. Delve into cluster setups, job management, performance testing, and balancing factors like expenses, safety, flexibility, and upkeep.

Elevify advantages

Develop skills

  • HPC workload profiling: swiftly identify CPU, memory, I/O, and GPU performance issues.
  • Parallelisation expertise: implement MPI, OpenMP, and GPU acceleration for superior speed.
  • Performance optimisation: refine code, data structures, and I/O for maximum throughput.
  • Cluster engineering: select optimal CPU, GPU, storage, and networking for scalability.
  • Benchmarking proficiency: create reliable tests to confirm and measure 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.
Workload: between 4 and 360 hours

What our students say

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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