Outrageously Funny Word Dictionary :: Parallelisation

👉 Parallelisation is a process in computer science where multiple processes are run simultaneously on a single machine, using shared memory or other resources to perform operations efficiently. This can be useful for tasks that can be broken down into small, independent sub-tasks and executed concurrently by multiple processes. The term "parallelising" refers to the process of making use of parallel processing capabilities to make the execution of complex computations more efficient and scalable.

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👉 Parallelisation is a technique used in computer science and software engineering to speed up the execution of programs by dividing them into smaller, more manageable parts called "parallel processes" or "threads." This allows for the use of multiple cores (or processors) on a single machine, thereby making it possible to execute the same program on different machines simultaneously. The term "parallelisation" is often used in conjunction with the phrase "distributed computing," which refers to the idea that computers can be distributed across many locations

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👉 Parallelisation in programming refers to the process of dividing a single computer program into smaller, more manageable parts that can be executed on multiple processors simultaneously. This allows for faster execution times and improved resource utilization compared to running the program all at once. It is often used in situations where the number of cores or processors available cannot be fully utilized efficiently, such as when working with large datasets or complex algorithms.

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👉 Parallelization is a process in computer science where multiple copies of a program are executed simultaneously on different hardware components. This allows for better performance and efficiency by utilizing multiple cores or processors from each machine, which can increase the overall speed of an application or system. It's also known as multithreading, which involves dividing the work into smaller parts that can be performed concurrently by multiple threads of a computer.

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