"Parallelise" Pronounce,Meaning And Examples
"Parallelise" Natural Recordings by Native Speakers
"Parallelise" Meaning
To parallelise means to perform or organize something in a way that multiple tasks or processes are done at the same time, often using multiple resources or systems simultaneously, in order to increase efficiency, speed, or productivity.
"Parallelise" Examples
Parallelise
Example 1:
To parallelise the research process, we divided the tasks among team members, allowing us to complete the project more efficiently.Example 2:
The new software allows developers to parallelise their coding workflow, increasing productivity and reducing errors.Example 3:
To improve data processing speeds, the company decided to parallelise their algorithms, leveraging the power of multiple CPU cores.Example 4:
In a distributed computing environment, tasks can be parallelised across multiple nodes, enabling faster processing times and increased scalability.Example 5:
By parallelising their task list, the project manager was able to allocate specific tasks to each team member, ensuring that the project stayed on track and was completed within the deadline."Parallelise" Similar Words
Parallactic
Parallax
Parallel
Parallel refers to being alongside or alongside someone or something else, moving or proceeding in the same direction. It can also describe things that are similar or identical, but not necessarily identical, such as two lines that never meet or intersect.
Paralleled
Parallelled refers to a situation or phenomenon where multiple events, concepts, or entities are similar, identical, or co-existent, often in a way that is consistent, symmetrical, or simultaneous. In other words, things that are parallelled have some form of similarity or equivalence, either structurally, functionally, or conceptually.
Parallelepiped
Paralleling
Parallelisation
Parallelised
Parallelising
Parallelism
Parallelisms
Parallelization
Parallelize
Parallelized
Parallelizing
Parallelizing is a process or method of executing multiple tasks or processes simultaneously, as if they were operating in parallel. This can be done to increase efficiency, speed up processing time, or handle a large workload by distributing the workload across multiple CPU cores, threads, or processes. In other words, parallelizing refers to the act of breaking down a complex problem or task into smaller, independent sub-tasks that can be performed concurrently, allowing for faster and more efficient completion of the overall task.