Examples of using Parallel algorithms in English and their translations into Indonesian
{-}
-
Colloquial
-
Ecclesiastic
-
Computer
-
Ecclesiastic
However, very few parallel algorithms achieve optimal speedup.
This tutorial provides an introduction to the design and analysis of parallel algorithms.
Parallel algorithms are highly useful in processing huge volumes of data in quick time.
In addition, it explains the models followed in parallel algorithms, their structures, and implementation.
Parallel algorithms need to optimize one more resource, the communication between different processors.
An algorithm designed for such an environment is called a serial algorithm, as opposed to parallel algorithms or distributed algorithms. .
Some problems have no parallel algorithms and are called inherently serial problems.
An algorithm designed for such an environment is called a serial algorithm, as opposed to parallel algorithms or distributed algorithms. .
Parallel algorithms- algorithm that can execute one piece at a time in many different processing devices, and then put it back together again at the end to get the correct result.
Courses are offered in the fields of internet system architectures and their related design problems,distributed and parallel algorithms, applications of artificial intelligence, platforms.-.
Parallel algorithms- algorithm which can be executed a piece at a time on many different processing devices, and then put back together again at the end to get the correct result.
Courses are offered in the fields of internet system architectures and their related design problems,distributed and parallel algorithms, applications of artificial intelligence, platforms for collaborative work and ambient intelligence.
Parallel algorithms- algorithm which can be executed a piece at a time on many different processing devices, and then put back together again at the end to get the correct result.
Courses are offered in the fields of internet system architectures and their related design problems,distributed and parallel algorithms, applications of artificial intelligence, platforms for collaborative work and ambient intelligence.
Parallel algorithms take advantage of computer architectures where several processors can work on a problem at the same time, whereas distributed algorithms utilize multiple machines connected with a network.
Nevertheless, as a rule of thumb,high-performance parallel computation in a shared-memory multiprocessor uses parallel algorithms while the coordination of a large-scale distributed system uses distributed algorithms. .
Deep blue intelligent parallel algorithm.
A parallel algorithm can be executed simultaneously on many different processing devices and then combined together to get the correct result.
A parallel algorithm is a recipe that tells us how to solve a given problem using multiple processors.
This tutorial will help the undergraduate students ofcomputer science learn the basic-to-advanced topics of parallel algorithm.
A parallel algorithm can be split up to be executed a piece at a time on many different processing devices, and then put back together again at the end to get a data processing result.
In computer science, a parallel algorithm or concurrent algorithm, as opposed to a traditional sequential(or serial) algorithm, is an algorithm which can be executed a piece at a time on many different processing devices, and then put back together again at the end to get the correct result.
In computer science, a parallel algorithm, as opposed to a traditional serial algorithm, is one which can be executed a piece at a time on many different processing devices, and then put back together again at the end to get the correct result.
With greater computing power,its systems can operate more machine learning algorithms in parallel for faster learning.
Parallel or distributed algorithms divide the problem into more symmetrical or asymmetrical subproblems and collect the results back together.
Parallel or distributed algorithms divide the problem into more symmetrical or asymmetrical subproblems and collect the results back together.