Examples of using Parallel programming in English and their translations into Indonesian
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Ecclesiastic
Years of experience in parallel programming.
Courses include Parallel Programming and Distributed Systems, Cluster and Grid Computing and Computer Graphics.
VHDL can also be used as a general purpose parallel programming language.
Parallel programming patterns will be abstractions that can be“crudely” implemented in current languages and parallel libraries, like the pseudocode above.
However, to utilize this potential,a programmer must have some knowledge of parallel programming techniques.
The next generation of parallel programming languages or libraries or extensions bolted onto serial languages will be influenced by the patterns we use now for specifying parallel computations.
It provides students with an in-depth understanding of parallel programming, modeling, simulation and analysis of intensive data.
Therefore, researchers making computations on large datasets often spread the work over many computers,a process sometimes called parallel programming.
An open-source technology that offers a high-level mechanism for the parallel programming of MapReduce jobs to be executed on Hadoop clusters.
Therefore, researchers making computations on large datasets often spread the work over many computers,a process sometimes called parallel programming.
This uses programming language known as Pig Latin,which boasts simplified parallel programming, optimization as well as extensibility.
From the evidence above, I think future parallel programming languages or language extensions supporting parallelism will be influenced by the parallel programming patterns we define and use today.
It relies on a programming language called Pig Latin,which boasts simplified parallel programming, optimization, and extensibility.
We are looking for candidates to teach a variety of graduate-level classes including web application programming, algorithms, networking, advanced programming languages, big data, machine learning,computer graphics, and parallel programming.
Apache Pig is anopen-source technology that offers a high-level mechanism for parallel programming of MapReduce jobs to be executed on Hadoop clusters.
This professional program can be completed in 16 months and emphasizes practical skills in visualization, data mining,cloud-based approaches and parallel programming skills.
Pig: This is an opensourced technology which offers a high-level mechanism for the parallel programming of MapReduce jobs that are executed on Hadoop clusters.
NVIDIA has named the University of Oxford a CUDA Centre of Excellence in recognition of its ongoing work in parallel computing research and education using NVIDIA GPUs andthe NVIDIA CUDA® parallel programming environment.
In computer science,message passing is a form of communication used in concurrent programming, parallel programming, object-oriented programming, and interprocess communication….
Special attention is paid to the relevance of the studied technologies-students learn parallel programming and modern HPC, distributed and cloud computing, modern agile developments, embedded and mobility systems, robotics, artificial intellect and many others.
One of the most important new methods for overcoming performance bottlenecks for alarge class of applications is data parallel programming on a distributed data grid.
DBMS Security Mobile DeviceProgramming Computer Networks Operating Systems Parallel Programming Compilers Software Testing Big Data Analytics Systems Analysis Project Management.
The training courses of the basic block cover the main SC&HPCareas, while the courses constituting the advanced block are focused on using the parallel programming in selected knowledge domains.
He has worked in parallel computing and computer graphics since 1993,with a special focus on parallel programming and debugging, cluster and Grid computing.
Being a parallel programmer, I was interested in what people(and these were some of the experts in the field) had to say about parallel programming patterns, how they are evolving and how they will impact future parallel coders.
Defined by its host city and region, each show is unique, which is reflected in its participating galleries, artworks presented,and the content of parallel programming produced in collaboration with local institutions for each edition. .
Delivers enhanced developer productivity and significant application performance increases through reduced boilerplate code, improved collections and annotations,simpler parallel programming models and more efficient use of modern, multi-core processors.
The goal of the Master's program is to train highly skilled specialists that have all modern scientific knowledge and practical skills necessary for using the huge computationalpotential of high-performance computer systems including parallel programming and database technologies, computer networks, parallel computations in applications, computer vision and others.