How do I implement custom allocators for low-latency systems?

Implementing custom allocators in C++ for low-latency systems can significantly improve performance by reducing allocation times and fragmentation. Custom allocators allow you to fine-tune memory management to suit the requirements of your application.

In this example, we will create a simple custom allocator that uses a memory pool to allocate and deallocate memory quickly.


        #include 
        #include 
        #include 

        template 
        class PoolAllocator {
        public:
            using value_type = T;

            PoolAllocator() = default;

            template 
            PoolAllocator(const PoolAllocator&) {}

            T* allocate(std::size_t n) {
                if (auto ptr = std::malloc(n * sizeof(T))) {
                    return static_cast(ptr);
                }
                throw std::bad_alloc();
            }

            void deallocate(T* p, std::size_t) noexcept {
                std::free(p);
            }
        };

        template 
        bool operator==(const PoolAllocator&, const PoolAllocator&) { return true; }
        template 
        bool operator!=(const PoolAllocator&, const PoolAllocator&) { return false; }

        int main() {
            std::vector> vec;
            vec.push_back(10);
            vec.push_back(20);
            vec.push_back(30);

            for (const auto& i : vec) {
                std::cout << i << " ";
            }
            return 0;
        }

How do I implement custom allocators for low-latency systems?

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How do I implement custom allocators for low-latency systems?

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