paralelizáció

Paralelizáció is a fundamental concept in computer science that refers to the simultaneous execution of multiple computations. The goal of paralelizáció is to improve performance by dividing a problem into smaller parts that can be solved concurrently. This can be achieved through various techniques, including parallel processing, which utilizes multiple processors or cores to perform tasks at the same time.

There are several types of paralelizáció. Data paralelizáció involves distributing data across multiple processors, with each processor performing the same operation on a subset of the data. Task paralelizáció, on the other hand, divides a program into independent tasks, each of which can be executed on a separate processor. In some cases, a combination of both data and task paralelizáció might be employed.

The benefits of paralelizáció are significant, especially for computationally intensive tasks such as scientific simulations, data analysis, and artificial intelligence. By leveraging multiple processing units, these tasks can be completed much faster than with sequential processing. However, implementing paralelizáció can be complex, requiring careful consideration of how to divide the problem, manage data dependencies, and synchronize the execution of different threads or processes. Efficient paralelizáció also depends on the underlying hardware architecture and the programming model used.