Parallel Computing Toolbox provides several high-level programming constructs that let you convert your applications to take advantage of computers equipped with multicore processors and GPUs. Constructs such as parallel for-loops (parfor) and special array types for distributed processing and for GPU computing simplify parallel code development by abstracting away the complexity of managing computations and data between your MATLAB session and the computing resource you are using.

 Parallel Computing Toolbox provides several high-level programming constructs that let you convert your applications to take advantage of computers equipped with multicore processors and GPUs. Constructs such as parallel for-loops (parfor) and special array types for distributed processing and for GPU computing simplify parallel code development by abstracting away the complexity of managing computations and data between your MATLAB session and the computing resource you are using.

You can run the same application on a variety of computing resources without reprogramming it. The parallel constructs function in the same way, regardless of the resource on which your application runs—a multicore desktop (using the toolbox) or on a larger resource such as a computer cluster (using toolbox with MATLAB Distributed Computing Server).

并行计算工具箱提供了几个高层次的编程结构，让您转换您的应用程序来利用GPUs和多核处理器的优势。 这些用于分布式处理和GPU计算的结构，例如并行for循环和特殊的数组类型，简化了并行代码的开发，它是通过减少Matlab和你使用的计算源之间的计算来实现的。

你可以用许多计算源来运行相同的程序而并不需要重新编程。并行结构功能也是这样的，不管你的程序在什么上运行，多核处理器或者更大的源如集群。

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