在我最近的LINUX工作中，需要注意的一件事是库。如果您正在使用线程，请确保跨线程使用的所有库都是线程安全的。这让我疼了好几次。值得注意的是，libxml2并不是开箱即用的线程安全的。它可以用线程安全编译，但这不是你用aptitude install得到的。

多线程是为受虐狂准备的。：）

If you are concerned about an environment where you are constantly creating threads/forks, perhaps like a web server handling requests, you can pre-fork processes, hundreds if necessary. Since they are Copy on Write and use the same memory until a write occurs, it's very fast. They can all block, listening on the same socket and the first one to accept an incoming TCP connection gets to run with it. With g++ you can also assign functions and variables to be closely placed in memory (hot segments) to ensure when you do write to memory, and cause an entire page to be copied at least subsequent write activity will occur on the same page. You really have to use a profiler to verify that kind of stuff but if you are concerned about performance, you should be doing that anyway.

Development time of threaded apps is 3x to 10x times longer due to the subtle interaction on shared objects, threading "gotchas" you didn't think of, and very hard to debug because you cannot reproduce thread interaction problems at will. You may have to do all sort of performance killing checks like having invariants in all your classes that are checked before and after every function and you halt the process and load the debugger if something isn't right. Most often it's embarrassing crashes that occur during production and you have to pore through a core dump trying to figure out which threads did what. Frankly, it's not worth the headache when forking processes is just as fast and implicitly thread safe unless you explicitly share something. At least with explicit sharing you know exactly where to look if a threading style problem occurs.

如果性能如此重要，那就增加另一台计算机和负载平衡。对于开发人员调试一个多线程应用程序的成本，即使是由一个有经验的多线程程序编写的应用程序，你可能会买4块40核的英特尔主板，每块都有64g内存。

That being said, there are asymmetric cases where parallel processing isn't appropriate, like, you want a foreground thread to accept user input and show button presses immediately, without waiting for some clunky back end GUI to keep up. Sexy use of threads where multiprocessing isn't geometrically appropriate. Many things like that just variables or pointers. They aren't "handles" that can be shared in a fork. You have to use threads. Even if you did fork, you'd be sharing the same resource and subject to threading style issues.

Linux使用1-1线程模型，(对内核来说)没有进程和线程的区别——一切都只是一个可运行的任务。＊

在Linux上，系统调用clone克隆一个任务，共享级别可配置，其中包括:

CLONE_FILES:共享相同的文件描述符表(而不是创建一个副本) CLONE_PARENT:不要在新任务和旧任务之间建立父子关系(否则，child的getppid() = parent的getpid()) CLONE_VM:共享相同的内存空间(而不是创建COW副本)

Fork()调用clone(共享最少)，pthread_create()调用clone(共享最多)。**

fork的成本比pthread_creation略高，因为需要复制表并为内存创建COW映射，但是Linux内核开发人员已经尝试(并成功)将这些成本最小化。

如果任务共享相同的内存空间和不同的表，那么它们之间的切换将比不共享的任务稍微便宜一些，因为数据可能已经加载到缓存中了。然而，即使没有任何共享，切换任务仍然非常快——这是Linux内核开发人员试图确保(并成功确保)的另一件事。

事实上，如果您在多处理器系统上，不共享实际上可能有利于性能:如果每个任务都在不同的处理器上运行，同步共享内存的成本很高。

*简化。CLONE_THREAD导致信号传递被共享(这需要共享信号处理程序表的CLONE_SIGHAND)。

* *简化。SYS_fork和SYS_clone系统调用都存在，但是在内核中，SYS_fork和SYS_clone都是对同一个do_fork函数的非常薄的包装，而do_fork函数本身也是对copy_process的薄包装。是的，进程、线程和任务这三个术语在Linux内核中是可以互换使用的……

其他人讨论了这些考虑因素。

也许重要的区别是，在Windows中，与线程相比，进程是沉重和昂贵的，而在Linux中，差异要小得多，所以等式在不同的点上平衡。

更复杂的是，还有线程本地存储和Unix共享内存。

Thread-local storage allows each thread to have a separate instance of global objects. The only time I've used it was when constructing an emulation environment on linux/windows, for application code that ran in an RTOS. In the RTOS each task was a process with it's own address space, in the emulation environment, each task was a thread (with a shared address space). By using TLS for things like singletons, we were able to have a separate instance for each thread, just like under the 'real' RTOS environment.

共享内存(显然)可以为您带来让多个进程访问相同内存的性能优势，但代价是必须正确地同步进程。一种方法是让一个进程在共享内存中创建一个数据结构，然后通过传统的进程间通信(如命名管道)向该结构发送句柄。

这取决于很多因素。进程比线程更重，启动和关闭成本更高。进程间通信(IPC)也比线程间通信更困难、更慢。

相反，进程比线程更安全，因为每个进程都运行在自己的虚拟地址空间中。如果一个进程崩溃或缓冲区溢出，它根本不会影响任何其他进程，而如果一个线程崩溃，它会关闭进程中的所有其他线程，如果一个线程缓冲区溢出，它会在所有线程中打开一个安全漏洞。

因此，如果应用程序的模块可以在很少通信的情况下独立运行，那么如果能够负担得起启动和关闭成本，则可能应该使用进程。IPC对性能的影响将是最小的，并且您在漏洞和安全漏洞方面会稍微安全一些。如果您需要获得或拥有大量共享数据(例如复杂的数据结构)，那么请使用线程。