Parallel Programming Course
Dive into parallel programming using threads, OpenMP, Java concurrency, and NUMA-smart tweaks. Build rapid, scalable code, sidestep data races, fine-tune speed, and spot issues on today's multicore servers. Perfect for developers eyeing high-performance computing in real-world setups.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain hands-on skills to create speedy, scalable code for multicore systems. Master a key parallel tool like OpenMP, pthreads, or Java concurrency. Grasp threads, synchronisation, memory handling, and NUMA effects. Tune caches, dodge false sharing, use SIMD instructions, craft smart matrix methods, and employ profilers plus benchmarks to test, fix, and boost actual workloads.
Elevify advantages
Develop skills
- Master parallel tools: Craft quick OpenMP, pthreads, or Java concurrent programmes.
- Optimise multicore memory: Adjust caches, NUMA, and bandwidth for true gains.
- Resolve concurrency issues: Quickly nix data races, deadlocks, and false sharing.
- Boost performance: Profile, benchmark, and read speedup on live tasks.
- Design scalable methods: Parallelise matrix and numeric code with assurance.
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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