"Parallelization" Pronounce,Meaning And Examples
"Parallelization" Natural Recordings by Native Speakers
"Parallelization" Meaning
Parallelization is the process of dividing a problem or a task into smaller sub-problems or sub-tasks that can be solved or executed concurrently, often to improve the efficiency, speed, and scalability of the overall process or system. This can be achieved through the use of multiple processing units, such as multiple CPU cores, graphics processing units, or distributed computing systems, which work together to solve the problem or complete the task.
"Parallelization" Examples
Usage Examples for "Parallelization"
Computing: In order to speed up the processing time, the software uses parallelization to divide the tasks into smaller pieces and execute them simultaneously on multiple cores.
Science: The researcher optimized the experimental design to enable parallelization of the tests, allowing for a more comprehensive analysis of the results.
Business: To improve efficiency, the company implemented parallelization of workflows, allowing multiple teams to work on different aspects of the project simultaneously.
Biology: The team developed a novel algorithm for parallelization of DNA sequencing, enabling faster and more accurate analysis of genetic data.
Engineering: The engineers used parallelization to design and simulate the behavior of complex systems, such as aerodynamics and fluid dynamics, to optimize their performance.
"Parallelization" Similar Words
Paralleling
Parallelisation
Parallelise
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.
Parallelised
Parallelising
Parallelism
Parallelisms
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.
Parallelled
Parallelling
Parallelly
Parallelogram
A parallelogram is a type of quadrilateral (a four-sided shape) in which the opposite sides are parallel to each other and equal in length.
Parallelograms