Original: http://hi.baidu.com/tim_bi/blog/item/63728b8b613f33dcfd1f10dd.html
The 3.11 section of Advanced Programming in UNIX environments describes atomic operations, one of which is adding data at the end of a file. The article said that if multiple processes need to add data to a file, then in order to ensure that the two steps of locating and writing data is an atomic operation, you need to open the f
This article: Analysis of atomic class Atomicreference analysis source
In Atomicreference
Public Final Boolean Compareandset (v expect, v update) {return
unsafe.compareandswapobject (this, Valueoffset, expect, update);
}
Public final V Getandset (v newvalue) {return
(v) unsafe.getandsetobject (this, valueoffset, newvalue);
Public final Object Getandsetobject (object var1, Long var2, object VAR4) {
object var5;
1. Introduction
Atom (Atom) is meant to be "the smallest particle that cannot be further divided", whereas atomic manipulation (atomic operation) means "one or a series of operations that cannot be interrupted". It becomes a bit more complicated to implement atomic operations on multiple processors. In this article, let's talk about how
the file has increased, the Kernel updates the current file length of the v node to 1600. Then, the kernel switches the process to resume process. When A calls write, data is written to the file at the offset of the current file (1500 bytes. In this way, process B is replaced with the data that has just been written to the file.
The problem lies in the logic operation "locate to the end of the file and then write", which uses two separate function calls. The solution is to make these two operat
A long assignment in Java is not an atomic operation, because the 32-bit first, then 32-bit, two-step operation, and Atomiclong assignment is atomic operation, why? Why can volatile replace simple locks without guaranteeing atomicity? This involves volatile, which is one of the magic words in Java that I think has never been clearly explained in the Java specification, which is described in the official doc
Start with a relatively simple atomic (Java.util.concurrent is a queue-based contract and the queue, in many cases, uses the atomic operation, so begin here first). In many cases we just need a simple, efficient, thread-safe increment-decrement scheme. Note that there are three conditions: simple, which means that it is easier for programmers to operate the underlying or implement as little as possible, and
(i) Use of atomicThe Atomic Atom package is available in java.util.concurrent to enable Atomic operations (atomic operation), in which operations performed in a multithreaded environment are not interrupted by other threads./*** Atomic Simple demo** @author peter_wang* @create-time 2014-6-9 Morning 9:29:58*/public Clas
One of the main problems with concurrent programming is how to synchronize data. There are many ways to synchronize data, and here we introduce libkern/osatomic.h. This header file contains a lot of functions about atomic operations and synchronization operations, and if you want to synchronize the data, the functions can be our preferences. The implementations of these functions on different platforms are customized. In addition, they are thread-safe
MongoDB does not support transactions, so be aware of this when applying to your project. No matter what the design, don't ask MongoDB to guarantee the integrity of the data.But MongoDB provides a number of atomic operations, such as document preservation, modification, deletion, etc., all atomic operations.The so-called atomic operation is either that the docume
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When to use atomicreference
Atomicreference
Atomicreference
Get
Set
Lazyset
Compareandset
Weakcompareandset
Getandset
Tostring
TheAtomicintegerClass has a number of uses, but one is a drop-in replacement for an atomic counter.Before Java 5, we had to write classes with access to the counter variable inSynchronizedBlocks or methods, Or else useVolatileVariable which is a lighter form of synchr
Links to related documents:Probability Analysis of random competition mode in multi-core programming task grouping competition mode in multi-core programming Load Balancing Problem in multi-core programming lock competition problem in multi-core programming several difficulties in multi-core programming and their countermeasures (challenge 1) openMP parallel programming (ii) OpenMP parallel programming (I) Fast sorting efficiency on dual-core CPU in the multi-core CPU lock competition in the end
same for each run, this is only the case), which is why. This involves the thread scheduling problem, stating that the PID = 208 thread output thread PID after the operating system thread scheduling, the CPU resources are preempted by other threads, the thread until the last redistribution to the CPU resources, re-execution.Second, atomic operationThis is obviously to write atomic operations, but so far, t
In liunx, two atomic operations are defined, one for integer variables and the other for a bitmap (BIT ), these operations must be implemented in any computer architecture supported by Linux. In some architectures, these atomic operations have corresponding assembly instructions. Other architectures ensure the atomicity of operations by locking the memory bus.It is worth pondering how Windows ensures
Silicon graph Corporation (New York Stock Exchange Code: SGI) today announced that the Japanese Institute of Atomic Energy (JAERI) will launch SGI (R) as its latest core computing system) altix (R) supercomputer helps develop leading energy systems.
Through a bid, Fujitsu (Fujitsu Limited) and SGI Japan will work together to provide the Japanese Institute of Atomic Energy with 2,048 Intel (R) Itanium (R) 2
Linux system programming: atomic operation experiment in the IO read/write process, linuxio
The so-called atomic operation means that the kernel ensures that all steps (Operations) in a system call are executed as independent operations at one time without being interrupted by other processes or threads.
For example, when you and your girlfriend OOXX have a sudden call, they will inevitably interrupt your c
Declaring a property atomic makes compiler generate additional code this prevents concurrent access to the property. This additional code locks a semaphore, then gets or sets the property, and then unlock the semaphore. Compared to setting or getting a primitive value or a pointer, locking and unlocking a semaphore is expensive (although it is usually negligible if you consider the overall flow of your app). and also the property
i++ whether atomic operationis not an atomic operation. Reason:1.i++ It is divided into three stages:Memory to registerRegister self-incrementBack to MemoryEach of the three phases can be interrupted and separated from each other.2.++i the first thing to see is how the compiler compiles ,Some compilers, such as VCs, are compiled into the following assembly code in a non-optimized version:__asm{Moveax, DWORD
can not solve the problem, in fact, the use of hardware is easy to solve. Most CPUs provide atomic operations. Please refer to the documentation I mentioned at the beginning. The CPU guarantees that some comparisons of individual variables and exchange operations are atomic. That is, comparing a number is not what you expect, if it is, give you the variable, otherwise do not do the operation. It can be ima
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By atomic counting, the same numeric value can be added and reduced in multi-threaded cases, which is generally used for state synchronization.Look at the code first:
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Package MainImport"FMT"Import"Time"Import"Sync/atomic"Import"Runtime"Func
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The primary mechanism for managing state in Go was communication over channels. We saw this for example with worker pools. There is a few other options for managing state though. Here we'll look at using the Sync/atomic package for atomic counters accessed by multiple Goroutines
Package Mainimport ("FMT" "Runtime" "sync/
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