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Sceding Beyond the Desktop with MATLAB

机译:使用MATLAB超越桌面进行搜索

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Parallel computing technologies offer engineers the means to accelerate solutions of their computational problems by using multiple hardware resources. The ability to solve very large problems by scaling computer programs to run on multicore workstations, clusters, grids, and clouds can help engineers gain significant research and competitive advantages.rnEngineers who need their computer programs to run faster or process larger data sets would prefer that every program automatically use parallelism. However, automatic parallelism is still a subject of basic computer science research. Thus, the re-sponsibEity of using parallelism to run programs across multiple cores or computers is shared by the designers of programming languages/environments and their users.rnThis article explores the expectations that engineers have when using scalable parallel computing technologies as well as how the designers of MATLAB have attempted to meet those expectations.
机译:并行计算技术为工程师提供了使用多种硬件资源来加速解决其计算问题的方法。通过将计算机程序缩放以在多核工作站,群集,网格和云上运行来解决非常大的问题的能力可以帮助工程师获得重大的研究成果和竞争优势。rn需要计算机程序运行速度更快或处理较大数据集的工程师更喜欢每个程序都会自动使用并行性。但是,自动并行性仍然是基础计算机科学研究的主题。因此,编程语言/环境的设计人员及其用户共同承担使用并行性在多个内核或计算机上运行程序的责任。本文探讨了工程师在使用可扩展并行计算技术时的期望。 MATLAB的设计者试图满足这些期望。

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