Examples of 'parallel computing' in a sentence
Meaning of "parallel computing"
This phrase refers to the use of multiple processors or computers to solve complex computational problems. It involves breaking down a computational task into smaller subtasks that can be processed simultaneously, resulting in faster and more efficient computing
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- A type of computation in which many calculations or processes are carried out simultaneously.
How to use "parallel computing" in a sentence
Basic
Advanced
parallel computing
Such chips follow parallel computing principles.
A parallel computing solution of the simulation of waste disposal.
Experience in the use of parallel computing environments.
Parallel computing enables doctors to pinpoint radiotherapy more accurately.
As a pioneering processor for parallel computing the transputer.
Parallel computing is pretty important for the next release.
Also a better utilization of parallel computing resources is provided.
Acceleration of the algorithm is possible through parallel computing.
Tools for parallel computing.
It can be especially problematic in parallel computing.
Cient parallel computing appears to be paramount to meet these challenges.
Survey of affordable parallel computing systems.
They have also been proposed as a network topology in parallel computing.
Work on parallel computing architectures addresses efficiency and cost effectiveness.
This is a feature for parallel computing.
See also
Massively parallel computing is applied to deal with time consumption problem.
And this is exactly what parallel computing solves.
A cellular architecture is a type of computer architecture prominent in parallel computing.
This is precisely what parallel computing does.
The use of parallel computing is one of the great forces of this software.
Speed up network training with parallel computing on a cluster.
Parallel computing means to divide computer tasks among two or more processing chips.
Opening minds to parallel computing.
It is a statically typed functional programming language promoting parallel computing.
The concept of parallel computing.
Feature selection using associative memory paradigm and parallel computing.
Realworld parallel computing.
Grid computing is the most distributed form of parallel computing.
Highly parallel computing.
Bailey also does research in numerical analysis and parallel computing.
Massively parallel computing.
Data parallelism is parallelization across multiple processors in parallel computing environments.
Such applications require teraFLOPS of parallel computing performance to process terabytes of data quickly.
It results in a method both faster and more adapted to parallel computing tools.
Program optimization and parallel computing methods were utilized to accelerate these algorithms.
A memistor is a nanoelectric circuitry element used in parallel computing memory technology.
Parallel computing has become the dominant paradigm in computer architecture in recent years.
They are requesting parallel computing.
Parallel computing enables users to mobilise vast computer processing power to solve realworld problems.
In this thesis several methods using also parallel computing are presented.
Parallel computing takes place when many instructions are carried out simultaneously to solve a probl.
The first line explores the use of parallel computing on graphics card.
Parallel computing takes place when many instructions are carried out simultaneously to solve a problem.
They provide performance improvements in parallel computing libraries by taking locality into account.
The last problem is about scheduling tasks of several users on a parallel computing platform.
Additional boundary conditions and parallel computing corrections are also added into the model.
Hits made many organisations aware of the increasing importance of parallel computing technology.
I optimized the code for massively parallel computing and validated it on two different benchmarks.
This course includes practical work to train the student in the use of parallel computing.
The benefits for endusers of using parallel computing technology vary depending on the application concerned.
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