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Parallel Programming Course

Parallel Programming Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

Gain hands-on expertise in crafting high-speed, scalable code for multicore systems. Master key parallel tools like OpenMP, pthreads, or Java concurrency, delve into threads, synchronisation, memory models, and NUMA effects. Optimise caches, sidestep false sharing, leverage SIMD instructions, create efficient matrix computations, and utilise profilers plus benchmarks to assess, troubleshoot, and enhance actual workloads.

Elevify advantages

Develop skills

  • Master parallel APIs to develop swift OpenMP, pthreads, or Java concurrent applications.
  • Optimise multicore memory systems by tuning caches, NUMA, and bandwidth for peak performance.
  • Resolve concurrency issues swiftly by eliminating data races, deadlocks, and false sharing.
  • Enhance performance through profiling, benchmarking, and analysing speedup on live workloads.
  • Design scalable algorithms confidently for parallelising matrix and numerical computations.

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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