Redundant Atomic Writes Optimization
Why do compilers refrain from merging consecutive writes of the same value to a single atomic variable? Let's delve into this issue and uncover the underlying reasons.
The "As-If" Rule
According to the C standards, compilers are permitted to coalesce multiple atomic writes into a single operation. Even when these writes involve different values, the resulting behavior is still allowed to adhere to the "as-if" rule. This rule implies that the execution of the optimized code has the same observable effects as the original sequence of writes.
Compiler Behavior vs. Hardware Constraints
Despite being theoretically possible, compilers generally do not perform this optimization in practice. The primary reason for this is to avoid undesirable effects on performance and behavior when targeting real hardware.
Progress Bars and Other Examples
Consider the example of a progress bar. Optimizing multiple atomic writes to a single operation could lead to a situation where the progress bar stays at 0 and then abruptly jumps to 100%, potentially misleading users. Other scenarios where such optimization would be problematic include avoiding useless shared_ptr ref count increments and decrements in a loop.
Principle of Least Surprise
Programmers expect atomic writes to manifest in memory for every source store operation. Coalescing multiple writes violates this expectation, leading to potential confusion and incorrect behavior.
Quality-of-Implementation Issues
Compilers have difficulty determining when it is safe to optimize atomic writes without violating ordering rules and affecting other aspects of the program.
Future Optimizations and API Extensions
Discussions are ongoing within the C working group to extend the std::atomic API and provide programmers with finer control over optimization. This will enable compilers to perform optimizations where appropriate while ensuring the integrity and clarity of program behavior.
In the meantime, using volatile atomic or considering alternative implementations, such as shared_ptr_unsynchronized, can help avoid undesired optimization effects.
The above is the detailed content of Why Don't Compilers Merge Consecutive Atomic Writes?. For more information, please follow other related articles on the PHP Chinese website!

Gulc is a high-performance C library prioritizing minimal overhead, aggressive inlining, and compiler optimization. Ideal for performance-critical applications like high-frequency trading and embedded systems, its design emphasizes simplicity, modul

This article details C function return types, encompassing basic (int, float, char, etc.), derived (arrays, pointers, structs), and void types. The compiler determines the return type via the function declaration and the return statement, enforcing

This article explains C function declaration vs. definition, argument passing (by value and by pointer), return values, and common pitfalls like memory leaks and type mismatches. It emphasizes the importance of declarations for modularity and provi

This article details C functions for string case conversion. It explains using toupper() and tolower() from ctype.h, iterating through strings, and handling null terminators. Common pitfalls like forgetting ctype.h and modifying string literals are

This article examines C function return value storage. Small return values are typically stored in registers for speed; larger values may use pointers to memory (stack or heap), impacting lifetime and requiring manual memory management. Directly acc

This article analyzes the multifaceted uses of the adjective "distinct," exploring its grammatical functions, common phrases (e.g., "distinct from," "distinctly different"), and nuanced application in formal vs. informal

This article explains the C Standard Template Library (STL), focusing on its core components: containers, iterators, algorithms, and functors. It details how these interact to enable generic programming, improving code efficiency and readability t

This article details efficient STL algorithm usage in C . It emphasizes data structure choice (vectors vs. lists), algorithm complexity analysis (e.g., std::sort vs. std::partial_sort), iterator usage, and parallel execution. Common pitfalls like


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Zend Studio 13.0.1
Powerful PHP integrated development environment

Atom editor mac version download
The most popular open source editor

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Dreamweaver Mac version
Visual web development tools
