


Why does `std::atomic::store` with sequential consistency use XCHG on x86?
Why does a std::atomic store with sequential consistency use XCHG?
In the context of atomic memory operations, std::atomic provides a sequential consistency guarantee for its store operation. This means that any write performed using std::atomic::store will be visible to any subsequent memory operations performed on the same location.
XCHG vs. Store with Memory Barrier
The implementation of std::atomic::store for sequential consistency typically employs an XCHG instruction on x86 and x86_64 architectures. This instruction performs an atomic exchange operation where the value stored in a memory location is replaced with a new value.
The question arises as to why XCHG is preferred over a simple store operation followed by a memory barrier. While a normal store ensures that the data is written to memory, it does not guarantee that the write will be visible to other threads or processors. A memory barrier, such as asm volatile("" ::: "memory"), forces the processor to flush any pending write buffers and synchronize memory operations across different processors.
Reasons for Using XCHG
There are several reasons why XCHG is considered a suitable choice for implementing sequential consistency in std::atomic::store:
- Atomic Nature: XCHG is an atomic instruction, meaning that it executes as a single indivisible operation. This ensures that the write operation and the load of the previous value occur without any interleaving from other processors or threads.
- Strong Memory Barrier: The XCHG instruction acts as a full memory barrier on x86 architectures. It forces the processor to flush its write buffer and invalidate any cached copies of the memory location. This guarantees that any changes made by the XCHG will be visible to all subsequent memory operations.
- Performance Considerations: On certain CPUs, such as Intel Skylake, using XCHG for sequential consistency can outperform the combination of a store and a memory barrier. XCHG avoids the overhead associated with the explicit memory barrier, reducing latency and improving performance.
Alternative Approaches
While XCHG is a common implementation choice for sequential consistency in std::atomic::store, there are alternative approaches that can be used. One option is to use a MOV instruction followed by a MFENCE instruction. MOV performs a regular store operation, while MFENCE acts as a full memory barrier. This approach is used by some compilers in certain cases.
Conclusion
In summary, the use of XCHG for sequential consistency in std::atomic::store provides a reliable and efficient way to ensure that write operations are visible and ordered correctly across multiple threads and processors.
The above is the detailed content of Why does `std::atomic::store` with sequential consistency use XCHG on x86?. For more information, please follow other related articles on the PHP Chinese website!

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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

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

Hot Topics

C language data structure: The data representation of the tree and graph is a hierarchical data structure consisting of nodes. Each node contains a data element and a pointer to its child nodes. The binary tree is a special type of tree. Each node has at most two child nodes. The data represents structTreeNode{intdata;structTreeNode*left;structTreeNode*right;}; Operation creates a tree traversal tree (predecision, in-order, and later order) search tree insertion node deletes node graph is a collection of data structures, where elements are vertices, and they can be connected together through edges with right or unrighted data representing neighbors.

The truth about file operation problems: file opening failed: insufficient permissions, wrong paths, and file occupied. Data writing failed: the buffer is full, the file is not writable, and the disk space is insufficient. Other FAQs: slow file traversal, incorrect text file encoding, and binary file reading errors.

C language functions are the basis for code modularization and program building. They consist of declarations (function headers) and definitions (function bodies). C language uses values to pass parameters by default, but external variables can also be modified using address pass. Functions can have or have no return value, and the return value type must be consistent with the declaration. Function naming should be clear and easy to understand, using camel or underscore nomenclature. Follow the single responsibility principle and keep the function simplicity to improve maintainability and readability.

The C language function name definition includes: return value type, function name, parameter list and function body. Function names should be clear, concise and unified in style to avoid conflicts with keywords. Function names have scopes and can be used after declaration. Function pointers allow functions to be passed or assigned as arguments. Common errors include naming conflicts, mismatch of parameter types, and undeclared functions. Performance optimization focuses on function design and implementation, while clear and easy-to-read code is crucial.

C language functions are reusable code blocks. They receive input, perform operations, and return results, which modularly improves reusability and reduces complexity. The internal mechanism of the function includes parameter passing, function execution, and return values. The entire process involves optimization such as function inline. A good function is written following the principle of single responsibility, small number of parameters, naming specifications, and error handling. Pointers combined with functions can achieve more powerful functions, such as modifying external variable values. Function pointers pass functions as parameters or store addresses, and are used to implement dynamic calls to functions. Understanding function features and techniques is the key to writing efficient, maintainable, and easy to understand C programs.

The calculation of C35 is essentially combinatorial mathematics, representing the number of combinations selected from 3 of 5 elements. The calculation formula is C53 = 5! / (3! * 2!), which can be directly calculated by loops to improve efficiency and avoid overflow. In addition, understanding the nature of combinations and mastering efficient calculation methods is crucial to solving many problems in the fields of probability statistics, cryptography, algorithm design, etc.

Algorithms are the set of instructions to solve problems, and their execution speed and memory usage vary. In programming, many algorithms are based on data search and sorting. This article will introduce several data retrieval and sorting algorithms. Linear search assumes that there is an array [20,500,10,5,100,1,50] and needs to find the number 50. The linear search algorithm checks each element in the array one by one until the target value is found or the complete array is traversed. The algorithm flowchart is as follows: The pseudo-code for linear search is as follows: Check each element: If the target value is found: Return true Return false C language implementation: #include#includeintmain(void){i

The history and evolution of C# and C are unique, and the future prospects are also different. 1.C was invented by BjarneStroustrup in 1983 to introduce object-oriented programming into the C language. Its evolution process includes multiple standardizations, such as C 11 introducing auto keywords and lambda expressions, C 20 introducing concepts and coroutines, and will focus on performance and system-level programming in the future. 2.C# was released by Microsoft in 2000. Combining the advantages of C and Java, its evolution focuses on simplicity and productivity. For example, C#2.0 introduced generics and C#5.0 introduced asynchronous programming, which will focus on developers' productivity and cloud computing in the future.
