How can I optimize vector<int> c++ for cryptocurrency trading?

3 answers

• Nov 27, 2021 · 3 years ago
  One way to optimize vector<int> in C++ for cryptocurrency trading is to use reserve() function to preallocate memory for the vector. This can help reduce the number of reallocations and improve performance. Additionally, you can consider using emplace_back() instead of push_back() to avoid unnecessary copies of objects. Another optimization technique is to use iterators instead of indexes for accessing elements in the vector, as iterators are generally more efficient. Finally, you can also explore using custom allocators to manage memory allocation for the vector, which can further improve performance.
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• Nov 27, 2021 · 3 years ago
  Optimizing vector<int> in C++ for cryptocurrency trading can be achieved by using move semantics. By using std::move() function, you can efficiently transfer the ownership of the elements in the vector, avoiding unnecessary copies. Another optimization technique is to use the erase-remove idiom to efficiently remove elements from the vector. This can help improve the performance of operations such as filtering or removing specific elements. Additionally, consider using the shrink_to_fit() function to reduce the capacity of the vector to match its size, which can save memory and improve cache efficiency.
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• Nov 27, 2021 · 3 years ago
  When it comes to optimizing vector<int> in C++ for cryptocurrency trading, one approach is to leverage parallelism. By using parallel algorithms, such as std::transform or std::for_each, you can distribute the workload across multiple threads, potentially improving performance. Another optimization technique is to use a custom allocator that aligns the memory allocation with the cache line size, which can enhance cache efficiency. Additionally, consider using a sorted vector or a binary search tree instead of a regular vector if you frequently perform search operations on the data, as these data structures offer faster search capabilities.
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