Parallel Programming Course
This course equips you with essential parallel programming skills using threads, OpenMP, Java concurrency, and NUMA optimisation techniques. You will learn to build rapid, scalable applications, prevent data races and deadlocks, fine-tune performance metrics, and pinpoint bottlenecks on contemporary multicore servers, ensuring robust code for real-world demands.

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.What our students say
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