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HomeBackend DevelopmentC++Why is there no non-atomic equivalent of std::shared_ptr in the C standard library?

Why is there no non-atomic equivalent of std::shared_ptr in the C   standard library?

Examining the Case for a Non-Atomic Equivalent of std::shared_ptr

Introduction

Smart pointers in C 11 offer a powerful mechanism for memory management, with std::shared_ptr being the primary choice for shared ownership. However, its atomic nature introduces an overhead that may be unnecessary or undesirable in certain scenarios. This article explores the absence of a non-atomic equivalent of std::shared_ptr in the standard library and examines potential reasons behind this decision.

The Search for a Non-Atomic Alternative

Contrary to the premise of the question, std::shared_ptr is not the only smart pointer in to feature atomicity. std::weak_ptr is also atomic, presenting a potential solution for scenarios requiring non-owning references. Nevertheless, the interest in a dedicated non-atomic shared_ptr alternative suggests a perceived gap in the library.

Reasons for the Exclusion

Despite the potential benefits of a non-atomic shared_ptr, the C standards committee opted not to include one in C 11. The decision stemmed from a heated debate at the 2010 Rapperswil meeting. Arguments against its inclusion included:

  • Potential for Future Threaded Usage: Non-atomic shared_ptrs could inadvertently be employed in multithreaded contexts, leading to subtle and difficult-to-detect errors.
  • Consistency in Smart Pointer Design: A unified shared_ptr that handles reference counting uniformly across all use cases simplifies interoperability and library usage.
  • Minimal Performance Cost: Atomic operations in shared_ptr are not prohibitively expensive, especially considering move operations, which bypass atomic actions.
  • User Choice: Developers are free to create their own non-atomic reference-counted smart pointers if desired.

Conclusion

The absence of a non-atomic equivalent of std::shared_ptr in the C 11 standard is multifaceted. While it compromises the "pay for what you use" principle, it prioritizes consistency, error avoidance, and minimal performance overhead. The decision reflects a compromise between providing optimal flexibility and ensuring code robustness.

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