concurrency
Concurrent programming and thread safety
Explore the C++11 memory model, its impact on multithreading, std::atomic, memory_order (seq_cst, acquire/release, relaxed), happens-before, data races, and hardware mappings for safe concurrent C++ programming.
Learn when to use Java 8 parallel vs sequential streams for optimal performance. Discover key factors like dataset size, operation complexity, and hardware considerations.
Fix counter overflow issues to accurately compute used memory blocks in a 20k pool using uint32_t alloc_num and free counters. Handle wrapping, sum overflow, edge cases, and concurrency for reliable counter memory tracking.
Fix ScalaFX service issues with fs2.Stream.parEvalMapUnbonded. Learn about stream laziness, JavaFX threading requirements, and proper terminal operations.