Parallel Programming Course
This course provides hands-on experience in parallel programming, focusing on developing efficient, scalable applications for multicore systems using APIs like OpenMP, pthreads, or Java concurrency. Participants learn to optimize memory usage, resolve concurrency problems, and profile performance for real-world workloads.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Parallel Programming Course equips you with practical skills to develop fast, scalable code on multicore servers. You will gain mastery in one parallel environment such as OpenMP, pthreads, or Java concurrency, while grasping concepts like threads, synchronization, memory models, and NUMA. The course covers tuning caches, preventing false sharing, utilising SIMD, creating efficient matrix algorithms, and employing profilers and benchmarks to assess, debug, and optimise actual workloads.
Elevify advantages
Develop skills
- Master parallel APIs: Develop rapid OpenMP, pthreads, or Java concurrent applications.
- Optimise multicore memory: Adjust caches, NUMA, and bandwidth for genuine performance gains.
- Resolve concurrency issues: Quickly eradicate data races, deadlocks, and false sharing.
- Enhance performance: Profile, benchmark, and evaluate speedup on practical workloads.
- Create scalable algorithms: Parallelise matrix and numeric code with assurance.
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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