在 英语 中使用 Parallel programming 的示例及其翻译为 中文
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Parallel Programming.
Neural networks and parallel programming.
The Parallel Programming Library.
The International Journal of Parallel Programming.
Kylin Parallel Programming.
MapReduce: MapReduce is a parallel programming.
In parallel programming, this fact is commonly referred to as Amdahl's Law.
Title: Survey on parallel programming model.
OpenMP 3.1 parallelization directives are offered for improved parallel programming.
For more information, see Parallel Programming in the. NET Framework.
Parallel programming models exist as an abstraction of hardware and memory architectures.
Analysis of advanced computer architectures and parallel programming paradigms;
Parallel programming concerns operations that are overlapped for the specific goal of improving throughput.
Threading Building Blocks is a library that supports scalable parallel programming using standard C++ code.
For development of new parallel programming techniques and their deployment in high performance computing applications.
The increasing prevalence of multi-core processors anddistributed systems makes parallel programming more and more important.
Its specific work covers parallel programming, neural network, computer vision, automatic driving and other fields.
You will use C++ to develop object-oriented programs, to manage memory and system resources,and to implement parallel programming.
The problem is especially complex in the field of parallel programming, where there are extra things that can go wrong.
Parallel programming languages such as the open-source X10 programming language are designed to assist with this task.
HIPI is an image processing library designed tobe used with the Apache Hadoop MapReduce parallel programming framework.
Parallel programming languages like the open-source X10 programming language are intended to aid with this undertaking.
It relies on a programming language called Pig Latin,which boasts simplified parallel programming, optimization and extensibility.
The Concurrency Runtime simplifies parallel programming and helps you write robust, scalable, and responsive parallel applications.
Therefore, researchers making computations on large datasets often spread the work over many computers,a process sometimes called parallel programming.
To make parallel programming easier, Scala provides higher abstractions in the form of a parallel collections library that hides parallel algorithms.
This program covers a wide range of important computer science topics- such as networks,compilers, and parallel programming- and their modern-day applications.
NVIDIA supports the full range of parallel programming models such as CUDA and OpenCL, which application developers harness to super-charge their application performance.
To enable parallel programming in heterogeneous environments, Adapteva is adopting an open source approach making the architecture, interface and programming information available to all.
They asked me not to just talk about F programming and parallel programming, but also more generally thematically about functional programming and parallel programming.