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 will learn to manage threads, synchronization, memory models, and NUMA, while optimizing for caches, avoiding false sharing, leveraging SIMD, and creating high-performance matrix algorithms. The course emphasizes profiling, benchmarking, and troubleshooting real-world workloads to achieve measurable performance improvements.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Parallel Programming Course equips you with hands-on skills to develop quick, scalable code on multicore servers. You will gain mastery in one parallel setup (OpenMP, pthreads, or Java concurrency), grasp threads, synchronisation, memory models, and NUMA. Learn to optimise caches, steer clear of false sharing, utilise SIMD, create efficient matrix algorithms, and employ profilers and benchmarks to assess, troubleshoot, and enhance actual workloads.
Elevify advantages
Develop skills
- Master parallel APIs: Develop speedy OpenMP, pthreads, or Java concurrent applications.
- Optimise multicore memory: Adjust caches, NUMA, and bandwidth for genuine performance.
- Resolve concurrency issues: Quickly eliminate data races, deadlocks, and false sharing.
- Enhance performance: Profile, benchmark, and analyse speedup on real workloads.
- Design scalable algorithms: 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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