Examples of using Parallel programming in English and their translations into Chinese
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GPUs and the CUDA programming model enable students to quickly understand parallel programming concepts and immediately get transformative speed increases.".
Parallel programming framework MapReduce, developed at Google, and its open-source version Hadoop, simplify data processing across huge data sets distributed across commodity hardware.
Before you begin active parallel programming, you need to make sure your application delivers the right results before you vectorize and parallelize it.
There are new parallel programming libraries and tools to simplify the creation of parallel programs.
By utilizing Intel architecture and industry standard programming tools, offer parallel programming methods that can be applied across both.
This uses programming language known as Pig Latin, which boasts simplified parallel programming, optimization as well as extensibility.
The development kit is scheduled to be available in the first half of 2012 and will be supported by Nvidia's CUDA parallel programming toolkit.
The standard is designed to simplify parallel programming of heterogeneous CPU/GPU systems.
For reasons explained in this paper, the most composable parallel programming methods are Intel TBB and Intel® Cilk™ Plus.
Subjects covered in 1995 included computer vision, computerization of enterprises, parallel programming standards, parallel operating systems and neural networks.
Choose four core areas from which you will build expertise, such as machine learning, data mining, software engineering, scientific computing, parallel programming, computer systems, and more.
Object-oriented programming does not support parallel programming.
OpenMP 3.1 parallelization directives are offered for improved parallel programming.
I think that's what's happened in parallel programming.
OpenMP and MPI are two means of parallel programming.
There is a common myth in software development that parallel programming is hard.
It greatly facilitates programmers to run their own programs on distributed systems without distributed parallel programming.
Libraries provide an important abstract parallel programming method that needs to be considered before jumping into programming. .
OpenCL(Open Computing Language) is the first open, royalty-free standard for general-purpose parallel programming of heterogeneous systems.
The hard part of parallel programming is performance optimization with respect to issues such as granularity and communication.