官术网_书友最值得收藏!

Linux support for threads

The flow of execution in a process is referred to as a thread, which implies that every process will at least have one thread of execution. Multi-threaded means the existence of multiple flows of execution contexts in a process. With modern many-core architectures, multiple flows of execution in a process can be truly concurrent, achieving fair multitasking.

Threads are normally enumerated as pure user-level entities within a process that are scheduled for execution; they share parent's virtual address space and system resources. Each thread maintains its code, stack, and thread local storage. Threads are scheduled and managed by the thread library, which uses a structure referred to as a thread object to hold a unique thread identifier, for scheduling attributes and to save the thread context. User-level thread applications are generally lighter on memory, and are the preferred model of concurrency for event-driven applications. On the flip side, such user-level thread model is not suitable for parallel computing, since they are tied onto the same processor core to which their parent process is bound.

Linux doesn’t support user-level threads directly; it instead proposes an alternate API to enumerate a special process, called light weight process (LWP), that can share a set of configured resources such as dynamic memory allocations, global data, open files, signal handlers, and other extensive resources with the parent process. Each LWP is identified by a unique PID and task structure, and is treated by the kernel as an independent execution context. In Linux, the term thread invariably refers to LWP, since each thread initialized by the thread library (Pthreads) is enumerated as an LWP by the kernel.

主站蜘蛛池模板: 香港| 湛江市| 黄龙县| 丹凤县| 本溪市| 绥芬河市| 玛多县| 江达县| 偏关县| 新乡市| 白银市| 富锦市| 大连市| 忻州市| 珲春市| 临安市| 闵行区| 南昌县| 凤台县| 兴城市| 南康市| 葫芦岛市| 庄河市| 阳东县| 调兵山市| 青阳县| 西和县| 新田县| 丰宁| 黄龙县| 抚州市| 新平| 太康县| 定边县| 建瓯市| 太白县| 绿春县| 巴彦淖尔市| 澄迈县| 兰坪| 抚远县|