Shulou(Shulou.com)06/02 Report--

This article mainly explains how multithreading can reduce context switching and avoid deadlocks. Interested friends may wish to take a look. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn how multithreading can reduce context switching and avoid deadlocks.

How to reduce context switching: 1. Lock-free concurrent programming: when multi-thread competes for lock, it will cause context switch, so when multi-thread processes data, there are some ways to avoid using lock. For example, the ID of the data is segmented according to the Hash algorithm, and different threads deal with different data. 2, CAS algorithm: java's Atomic package uses the CAS algorithm to update data without locking 3, using the least number of threads: avoid creating unnecessary threads, such as fewer tasks, but create a lot of threads to deal with, which will cause a large number of threads to wait. 4. Cooperative program: achieve multi-task scheduling in a single thread, and maintain the switch between multiple tasks in a single thread. Several common ways to avoid deadlock: 1, avoid a thread to acquire multiple locks at the same time 2, avoid a thread in the lock at the same time occupy multiple resources, try to ensure that each lock occupies only one resource 3, try to use locak,tryLock (timeout) instead of using the internal lock mechanism 4, for database locks, locking and unlocking must be in a database connection, otherwise parsing locks will fail. At this point, I believe you have a deeper understanding of "multithreading how to reduce context switching and avoid deadlocks". You might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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