How do I pool allocate objects for low-latency systems?

Learn how to implement object pooling in C++ for low-latency systems. Optimize memory management and improve performance by reusing objects instead of allocating and deallocating memory frequently. This technique is essential for real-time processing and high-performance applications.

object pooling, memory management, low-latency systems, C++, performance optimization, real-time processing

// Example of Object Pool in C++ #include #include #include class Object { public: Object() { std::cout << "Object constructed\n"; } ~Object() { std::cout << "Object destructed\n"; } void doSomething() { std::cout << "Doing something\n"; } }; class ObjectPool { public: ObjectPool(size_t size) { for (size_t i = 0; i < size; ++i) { pool.push_back(std::make_unique()); } } std::unique_ptr acquire() { if (pool.empty()) return nullptr; // No available object auto obj = std::move(pool.back()); pool.pop_back(); return obj; } void release(std::unique_ptr obj) { pool.push_back(std::move(obj)); } private: std::vector<:unique_ptr>> pool; }; int main() { ObjectPool pool(5); auto obj1 = pool.acquire(); obj1->doSomething(); pool.release(std::move(obj1)); // Returns object to pool return 0; }

object pooling memory management low-latency systems C++ performance optimization real-time processing

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