Concurrency & Parallelism
Master advanced threading patterns, lock-free programming, and parallel processing techniques
Concurrency Programming Examples
From basic threading to advanced lock-free algorithms
Thread Pool From Scratch
Build a custom thread pool with work queues and dynamic thread management
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Lock-Free Ring Buffer
Implement a high-performance lock-free data structure using atomic operations
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Parallel File Compression
Multi-threaded file compression with work distribution and result merging
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Producer-Consumer Queue
Implement thread-safe producer-consumer pattern with condition variables
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Multithreaded Web Scraper
Build a concurrent web scraper with rate limiting and result aggregation
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OS-Style Task Scheduler
Create a preemptive task scheduler similar to operating system schedulers
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Concurrency Mastery Path
Build expertise from basic threading to advanced lock-free programming
Thread creation and basic synchronization
Producer-consumer and thread pools
Lock-free algorithms and atomic operations
Advanced scheduling and task systems
Prerequisites
- Solid understanding of multithreading concepts
- Knowledge of mutex, semaphores, and condition variables
- Understanding of memory models and cache coherency
- Experience with C/C++ or systems programming
- Basic knowledge of assembly and CPU architecture
What You'll Learn
- Advanced threading patterns and thread pool management
- Lock-free programming with atomic operations
- Parallel algorithm design and optimization
- Race condition detection and prevention
- Performance profiling and bottleneck analysis
Common Concurrency Patterns
Essential patterns you'll implement and master
Worker Pool
Distribute work across multiple threads
Pipeline
Sequential processing stages
Fan-out/Fan-in
Distribute and collect results
Actor Model
Message-passing concurrency
Lock-Free Queues
High-performance data structures
Barrier Synchronization
Coordinate parallel execution
⚡ Performance Considerations
Concurrency programming requires careful attention to performance bottlenecks, cache coherency, and memory access patterns. These examples teach you to write efficient, scalable concurrent code while avoiding common pitfalls like false sharing and lock contention.
Master Parallel Programming
These advanced concurrency examples are coming soon. Check out other categories!