Parallel Programming Course
Master parallel programming with threads, OpenMP, Java concurrency, and NUMA-aware optimization. Learn to design fast, scalable code, avoid data races, tune performance, and analyze bottlenecks on modern multicore servers.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This Parallel Programming Course gives you practical skills to write fast, scalable code on multicore servers. You will master one parallel environment (OpenMP, pthreads, or Java concurrency), understand threads, synchronization, memory models, and NUMA. Learn to tune caches, avoid false sharing, apply SIMD, design efficient matrix algorithms, and use profilers and benchmarks to measure, debug, and optimize real workloads.
Elevify advantages
Develop skills
- Master parallel APIs: Build fast OpenMP, pthreads, or Java concurrent apps.
- Optimize multicore memory: Tune caches, NUMA, and bandwidth for real speed.
- Fix concurrency bugs: Eliminate data races, deadlocks, and false sharing fast.
- Tune performance: Profile, benchmark, and interpret speedup on real workloads.
- Design scalable algorithms: Parallelize matrix and numeric code with confidence.
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 workloadWhat our students say
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