Tehtäväparallellisuuden

Tehtäväparallellisuus, or task parallelism, is a concept in computer science where multiple tasks are executed concurrently. Unlike data parallelism, where the same operation is performed on different subsets of data, task parallelism involves executing distinct tasks that may operate on different data or perform entirely different computations. The goal is to improve the overall performance of a system by utilizing multiple processing units, such as CPU cores or distributed machines.

In task parallelism, a program is broken down into a set of independent or semi-independent tasks. These tasks can then be assigned to different processors or threads. For example, in a complex simulation, one task might handle physics calculations, another might manage user input, and a third could render the output. If these tasks can run without waiting for each other, they can be executed simultaneously, leading to a faster completion time.

The effectiveness of task parallelism depends on several factors. The degree of independence between tasks is crucial; tasks that have a high degree of interdependence or require frequent synchronization can limit the benefits of parallelism. Efficient task scheduling is also important to ensure that processors are kept busy and that there is minimal overhead associated with managing the tasks. While task parallelism can significantly boost performance, it also introduces complexities in terms of programming, debugging, and resource management.