Barrier (computer science)

本文深入探讨了计算机科学中同步屏障的概念、类型及其应用,包括处理器和编译器屏障、动态屏障等,并介绍了相关引用资源。
 

Barrier (computer science)

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[edit] Threads synchronization primitive

In parallel computing, a barrier is a type of synchronization method. A barrier for a group of threads or processes in the source code means any thread/process must stop at this point and cannot proceed until all other threads/processes reach this barrier.

Many collective routines and directive-based parallel languages impose implicit barriers. For example, a parallel do loop in Fortran with OpenMP will not be allowed to continue on any thread until the last iteration is completed. This is in case the program relies on the result of the loop immediately after its completion. In message passing, any global communication (such as reduction or scatter) may imply a barrier.

[edit] Processor and compiler barriers

Memory barrier is a class of instructions which cause a processor to enforce an ordering constraint on memory operations issued before and after the barrier instruction.

A barrier can also be a high level programming language statement which prevent the compiler from reordering other operations over the barrier statement during optimization passes. Different classes of barrier exist and may apply to a specific set of operations only.

[edit] Dynamic Barriers

Classic barrier constructs define the set of participating processes/threads statically. This is usually done either at program startup or when a barrier like the Pthreads barrier is instantiated. This restricts the possible applications for which barriers can be used.

To support more dynamic programming paradigms like fork/join parallelism, the sets of participants have to be dynamic. Thus, the set of processes/threads participating in a barrier operation needs to be able to change over time. X10 introduced the concept of clocks for that purpose, which provide a dynamic barrier semantic. Building on clocks, phasers[1] have been proposed to add even more flexibility to barrier synchronization. With phasers it is possible to express data dependencies between the participating processes explicit to avoid unnecessary over-synchronization.

[edit] References

  1. ^ Shirako, J.; Peixotto, D. M.; Sarkar, V.; Scherer, W. N. (2008). Phasers. pp. 277. doi:10.1145/1375527.1375568.  edit

 

the original link: http://en.wikipedia.org/wiki/Barrier_(computer_science)

 

04-02
### Barrier 的定义及其在计算机科学中的应用 #### 什么是 BarrierBarrier 是一种同步机制,用于协调多个线程或进程之间的执行顺序。当一组线程到达某个特定点时,它们会被阻塞直到所有相关线程都到达该点。这种机制常被用来确保并行计算中的某些阶段按预期完成后再继续下一阶段的操作[^1]。 #### Barrier 的工作原理 Barrier 的基本功能可以描述如下:假设有一个屏障设置为等待 N 个线程,则每个线程运行到这个屏障处会暂停自己的执行,直到有 N 个线程全部抵达此屏障位置。一旦达到设定的数量,这些线程将同时解除阻塞状态并继续后续操作[^2]。 #### 使用场景举例 以下是几个常见的使用案例: 1. **多线程环境下的分步处理** 在一个多线程程序中,可能需要先让所有的线程分别独立完成一部分任务,然后再一起进入下一个阶段的工作。此时就可以利用 barrier 来实现这样的控制逻辑。 2. **分布式系统中的全局同步** 对于分布式的应用程序来说,有时也需要类似的全局同步行为来保证数据一致性或者算法正确性。例如,在 MapReduce 模型里,reduce 步骤通常要等到 map 阶段完全结束之后才能开始,这里也可以通过引入 barriers 实现必要的同步约束[^3]。 #### Python 中的 Barrier 示例 下面展示如何用 Python 的 `threading` 库创建和使用一个简单的 barrier: ```python import threading def worker(barrier): print(f"{threading.current_thread().name} is working.") barrier.wait() print(f"{threading.current_thread().name} continues after barrier.") num_threads = 3 barrier = threading.Barrier(num_threads) threads = [] for i in range(num_threads): t = threading.Thread(target=worker, args=(barrier,)) threads.append(t) t.start() for t in threads: t.join() ``` 上述代码片段展示了三个线程各自打印一条消息前后的过程受到同一个 barrier 控制的情况。只有当这三个线程均调用了 `wait()` 方法后才会释放彼此继续向前推进[^4]。 ---
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