Parallelization refers to the use of multiple computer resources, such as processors or cores, to perform tasks simultaneously. There are two main types of parallelization: parallelization of cores (multi-threading) and parallelization of sessions.
Parallelization of cores, or multi-threading, involves splitting a single task into smaller sub-tasks that can be executed simultaneously across multiple cores or processors. Each sub-task is assigned to a different core or processor, allowing the overall task to be completed faster. This technique is commonly used in computer programming, where a program can be divided into smaller, independent threads that run simultaneously on different cores.
Parallelization of sessions, on the other hand, involves running multiple independent tasks or sessions simultaneously on different cores or processors. For example, a web server might have multiple sessions running concurrently to handle multiple requests from clients. Each session is assigned to a different core or processor, allowing the server to handle multiple requests simultaneously.
In summary, parallelization of cores (multi-threading) involves splitting a single task into smaller sub-tasks that can be executed simultaneously across multiple cores or processors, while parallelization of sessions involves running multiple independent tasks or sessions simultaneously on different cores or processors. Both techniques can help improve performance and efficiency, but they are used in different contexts and for different purposes.