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A lock-free queue based on loop array

In the previous two blogs (the implementation of thread-safe unlocked ringbuffer, a non-lock queue implementation of a read thread for multiple write threads), it was written that in the case of only one read thread, one write thread, and only one write thread, two read thread, no lock technology was used, Even the implementation of the cyclic queue of atomic operations. However, in other cases, we also nee

Implementation of lock-free queue

may cause some potential problems.The ABA problem is most likely to occur in the lock free algorithm. CAS bears the brunt of this problem because CAS judges the pointer address. If this address is reused, the problem will be very high.(Address reuse often occurs. After a memory is allocated, it is released and distributed. It is likely that the original address is still used) For example, the preceding deq

Free server security software: cloud lock experience

It is common for websites to mount hidden links, advertising, leeching, and Trojans. It takes me a lot of time to deal with them, not to mention CC and DDoS attacks, to share these security questions, you can only find yourself unlucky. How can we save time and effort to solve these problems? If the company has O M personnel, congratulations, you are lucky. If not, the best way is to choose a practical website and server security software. This is the free

Implementation of thread-safe lock-free Ringbuffer

In programming, we sometimes encounter situations where one thread writes data into a buffer and another thread reads data from it. So there is the problem of multi-threading competition. The usual solution is to lock up competing resources. However, the general lock loss is higher. In fact, for such a thread to write, a thread read the special case, can be a simple loc

Implementation of thread-safe lock-free Ringbuffer

In programming, we sometimes encounter situations where one thread writes data into a buffer and another thread reads data from it. So there is the problem of multi-threading competition. The usual solution is to lock up competing resources. However, the general lock loss is higher. In fact, for such a thread to write, a thread read the special case, can be a simple loc

Implementation of lock-free queue Design Based on Sliding Window

Message Queue is the cornerstone of communication on some platforms. The communication between tasks is based on message queues. The processing speed of message queues often affects the performance of the entire system. To avoid multi-task processing of message queues at the same time, A lock is usually required for mutually exclusive access when a task is processing a queue. 1: assume that each module has its own message queue. Any module can send me

The C #2.0 implementation of the lightweight lock free thread-safe queue

Recently, some C #2.0Code... Discover unsafe implementations of various threads No concurrentcollection classes in 2.0 As a last resort, I wrote one myself, Originally intended to use the traditional lock implementation, but considering that the operation is very lightweight... Eventually still uses the lock free Use interlocked to replace common

LongAdder: more efficient lock-free implementation

. CAS is required every time after the change. In high concurrency, the failure probability is very high and it is a vicious circle, the latter has much lower overhead and has no side effects (in the previous issue, the base variable will be counted at sum, and the base value will not be lost ). Therefore, it may be better not to change. 4. Can AtomicLong be discarded?My idea is to discard it, because although LongAdder occupies a little space, its performance is enough to explain everything, wh

Implementation of an efficient lock-free memory queue

Disruptor is an efficient Memory Lock-free queue open-source by Lmax. I have read the relevant design documents and blogs over the past two days. I will try to summarize them below. The first part. IntroductionWhen talking about concurrent program design, there are several concepts that cannot be avoided. 1. locks: locks are the easiest way to implement concurrency. Of course, the price is also the highest.

Precautions for using lock-free queue (ring buffer), queue Loops

Precautions for using lock-free queue (ring buffer), queue Loops The circular buffer is a common data structure in the producer and consumer models. The producer puts the data into the end of the array, and the consumer removes the data from the other end of the array. when the end of the array is reached, the producer returns to the header of the array. If there is only one producer and one consumer, the R

Lock-Free-cas atomic operation

CAS atomic Operations--compare Set, or Compare Swap, now almost all CPU instructions support CAS atomic operations, X86 corresponding to CMPXCHG assembly instructions.You should remember the concept of "atomic manipulation" inside the operating system, where an operation is atomic (atomic), and if the upper layer of this operation is not able to find its internal implementation and structure. An atomic operation can be a step or multiple steps, but its order cannot be disrupted, or it can be c

Code for parsing the C ++ lock-free queue

This article provides an implementation code for the C ++ lock-free queue, which is mainly used for one thread to read data and write data in another thread. Copy codeThe Code is as follows: # ifndef LOCK_FREE_QUEUE_H _ # Define LOCK_FREE_QUEUE_H _ // No lock queue, suitable for reading by one thread and writing by one thread# Include Template Class LockFreeQueu

Multi-threaded Read global variables (how many values occur in a lock-free State)

operation.Thread 1 Thread 2MOVL Global,%eax;global value is 5,%eax value of 5Addl $1,%eax;%eax value is 6------Now thread 2 gets execute permission--------->MOVL Global,%eax;global value is 5,%eax value of 5Subl $1,%eax;%eax value is 4MOVL%eax,global;%eax value is 4,global value of 4MOVL%eax,global;%eax value is 4,global value of 4As can be seen from the above example, the result is not that we expect the value of global to remain the original value after 1 minus 1, but from 5 to 4. This is the

Lock-Free programming

1 #ifndef Mutex_class_h2 #defineMutex_class_h3 4 classMutex_class5 {6 Public:7 Mutex_class ();8 void Lock();9 voidunlock ();Ten One Private: A //The following is used, and the general lock is almost - intMutex_value; - }; the - #endif //Mutex_class_h1#include"Mutex_class.h"2#include 3 4 #defineLock_value 05 #defineUnlock_value 16 //nt Mutex_value = lock_value;7 #defineFree_lock (Mutex_val

Simple implementation of ring lock-free queue

ringbuf* r = New Ringbuf (); void Svc () {Ullong last = 0;ullong ts = 0;while (1) {Ullong c = (Ullong) r->pop (), if (c = = 0)/** not NULL . */{usleep (+); continue;} if (c-last! = 1) {printf ("It ' s a bug, C:%llu, Last:%llu\n", C, last); exit (1);} Last = c;if ((c% 20000000) = = 0) {Ullong now = Misc::getdida ();/** system ticking. */printf ("TS:%llu, Last:%llu\n", Now-ts, LA ST); ts = Now;}}} int main (int argc, char **argv) {misc::newthread (SVC);/** single thread consumption. *///for (Ullo

Implementation of the lock-free stack

(;;) {Increaseheadcount (oldhead); AutoConstNodeptr =oldhead.ptr; if(Nodeptr = =nullptr) { returnShared_ptr(); } if(Head.compare_exchange_strong (Oldhead, nodeptr->Next, std::memory_order_relaxed)) {Std::shared_ptrresult; Result.swap (Nodeptr-data); int ConstIncreasecount = Oldhead.externalcount-2; if(nodeptr->Internalcount.fetch_add (Increasecount, Std::memory_order_release) == -Increasecount) { Deletenodeptr; }

Concurrent lock-Free queue Learning (single-producer single-consumer model)

order to make full use of the queue, an end index is added to ensure that at least one data is written to the end of the queue. The variable-length queue data structure is defined as follows:See my blog for details about edge length arrays http://blog.csdn.net/xy010902100449/article/details/46522533   typedefstruct{ /*读指针*/ /*写指针*/ /*队列结束指针*/ uint32_t size; /*缓冲区大小*/ char *buff[0]; /*缓冲区起始地址*/}ring_buff_st; Copyright NOTICE: This article for Bo Master original

Go Lock-free queue

This is a creation in Article, where the information may have evolved or changed. Lock-free queue for scenarios: Two threads of interaction data, one thread production data, another thread consuming data, high efficiency Cons: Need to use fixed allocated space, can not dynamically increase/decrease length, there is space waste and can not expand the space problem Package Mainimport ( "FMT" "Reflect"

Lock-Free stack for managing memory using reference counting method I

(nodes, last); } voidPushlisttodelchain (node* First, node*Last ) { Last->next =Tobedeletedchainhead; //Put current head of delete chain to the next of the last . //Then let's the first be the head. while(!tobedeletedchainhead.compare_exchange_weak (last->Next, first)); } voidPushnodetodelchain (node*node) {Pushlisttodelchain (node, node); } Public: voidPush (TConstvalue) {AutoConstNewNode =NewNode (value); NewNode->next =head.load (); while(!head.compare_exchange_w

Summary of implementation of lock-free queue

See cool shell http://coolshell.cn/articles/8239.html CAS is an implementation of lock-free, which forms an important basis for efficient concurrent containers of JDK concurrent packages. Therefore, read it carefully. Post-read notes Understanding of ABA: In dB, it is a common practice to change the value of the last modified time field in a row of records as a reference object when updating the records

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