Read lock operation method, write lock operation method and system

Abstract

The embodiment of the application discloses a read lock operation method, a write lock operation method and a system. The read lock operation method includes: setting a private reference count corresponding to each core; when threads of different cores read the same data, use the private reference counts corresponding to different cores to perform operations of adding read locks and unscrambling locks. By using the various embodiments of the present application, when threads of different cores perform read operations on the same data, they can independently perform private reference counting operations corresponding to the cores. The private reference counts corresponding to these different cores do not need to be synchronized between each core, so the execution efficiency is improved. Moreover, the scalability of read locks is also improved, that is, no matter how many core threads concurrently add and read locks, the time for adding and reading locks will hardly increase, thereby improving execution efficiency.

Description

technical field [0001] The present application relates to the technical field of computer system structure, in particular to a read lock operation method, a write lock operation method and a system. Background technique [0002] A thread (thread), also known as a lightweight process (Lightweight Process, LWP), is a single sequence of control flow in a process, and serves as the smallest unit of program execution. In operating systems that introduce threads, processes are usually used as the basic unit of resource allocation, and threads are used as the basic unit of independent operation and independent scheduling. Threads can execute concurrently, for example multiple threads in a process can execute concurrently. Threads in different processes can also execute concurrently. In particular, in a computer system with multiple computing cores, such as a computer system with multiple CPU cores, threads of different cores can also be executed concurrently. [0003] When multi...

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Problems solved by technology

[0010] Like this, this method in the prior art, causes when multiple threads of different cores read the same data, because the communication between the cores will take a certain time, the atomic operation of changing the read_ref value in the corresponding cache of each core is It takes a certain amount of time, so the execution efficiency is low

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