Parallel Programming with OpenMP and TBB

Writing high-performance software requires understanding how to utilize modern multi-core processors effectively. This written course provides a clear foundation in parallel computing, guiding you through shared-memory multithreading using industry-standard tools like OpenMP and Threading Building Blocks (TBB). You will build a solid conceptual understanding of concurrency before diving into practical implementations, learning how to write scalable, race-condition-free parallel code. What you'll learn: - Understand core concurrency concepts, thread execution models, and memory architectures - Implement parallel loops, sections, and synchronization pragmas using OpenMP - Configure variable scoping, shared variables, private clauses, and reduction operations - Apply TBB algorithms including parallel iterations, task graphs, and scalable allocators - Manage task scheduling, workload balancing, and concurrent containers in modern C++ - Practice identifying and avoiding common pitfalls like data races and deadlocks The course begins with foundational parallel terminology and core synchronization mechanics before advancing step-by-step through practical OpenMP directives and task-based patterns with TBB. This course is designed for programmers and computer science students looking to get started with parallel programming and multi-core optimization without complicated prerequisites. Start reading today to unlock the full potential of multi-threaded computing.