Efficient Concurrent Programming

Concurrency refers to the capability of processing multiple tasks in the same period. To improve the response speed and frame rate of applications and prevent time-consuming tasks from blocking the main thread, OpenHarmony provides two policies: asynchronous concurrency and multithread concurrency.

Asynchronous concurrency means that an action in asynchronous code is suspended and will continue later. Only one segment of code is being executed at a time.

Multithread concurrency allows multiple segments of code to be executed at a time. When the main thread continues to respond to user operations and update the UI, time-consuming operations are performed in the background to avoid application freezing.

Concurrency is used in a variety of scenarios, including a single I/O task, CPU intensive task, I/O intensive task, synchronous task, and the like. You can select a concurrency policy based on your scenario.

ArkTS provides the following mechanisms to support asynchronous concurrency and multithread concurrency:

• Using asynchronous concurrency for development
  • Asynchronous Concurrency Overview
  • Single I/O Task Development
• Using multithread concurrency for development
  • Multithread Concurrency Overview
  • Comparison Between the Actor and Memory Sharing Models
  • Comparison Between TaskPool and Worker
  • CPU Intensive Task Development
  • I/O Intensive Task Development
  • Synchronous Task Development