How do I implement custom allocators for financial apps?

Implementing custom allocators is essential for optimizing memory management in financial applications, where performance and efficiency are critical. Custom allocators can help reduce fragmentation, improve cache performance, and speed up allocation and deallocation processes that are frequent in high-frequency trading systems.

Example of a Custom Allocator in C++

#include #include #include template class CustomAllocator { public: using value_type = T; CustomAllocator() = default; template CustomAllocator(const CustomAllocator&) {} T* allocate(std::size_t n) { if (n > std::numeric_limits::max() / sizeof(T)) { throw std::bad_alloc(); } if (auto p = std::malloc(n * sizeof(T))) { return static_cast(p); } throw std::bad_alloc(); } void deallocate(T* p, std::size_t) { std::free(p); } }; int main() { std::vector> vec; for (int i = 0; i < 10; ++i) { vec.push_back(i); } for (auto& elem : vec) { std::cout << elem << " "; } return 0; }

Custom Allocators Memory Management Financial Applications Performance Optimization C++ High-Frequency Trading

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