Exploiting Auto-tuning to Analyze and Improve Performance Portability on Many-Core Architectures
Exploiting Auto-tuning to Analyze and Improve Performance Portability on Many-Core Architectures
复制标题
利用自动调整来分析和提高众核架构上的性能可移植性
DOI：
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复制
发表时间：
2017
期刊：
影响因子：
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通讯作者：
Simon McIntosh
中科院分区：
文献类型：
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作者：
J. Price;Simon McIntosh
性能可移植性已经迅速成为针对现代计算机体系结构的应用程序开发人员的关键问题之一。虽然有各种编程模型，可以提供功能的可移植性时，在不同的设备之间移动应用程序代码，它仍然是一个开放的研究问题，是否有可能保证一定程度的性能可移植性，在这些情况下。自动性能调优方法已被证明是消除开发人员代码优化负担的有效工具，但通过启用代码针对每个体系结构单独重复优化的环境，在某种程度上回避了性能可移植性的问题。
Performance portability has rapidly become one of the key concerns for application developers targeting modern computer architectures. Although there are various programming models that can offer functional portability when moving application code between different devices, it remains an open research question as to whether it is possible to guarantee some degree of performance portability in these situations. Automatic performance tuning approaches have been shown to be effective tools for removing the burden of code optimization from the developer, but somewhat sidestep the issue of performance portability by enabling an environment where code is repeatedly optimized for each architecture individually.
DOI：
10.1177/1094342014528252
发表时间：
2015-05
期刊：
The international journal of high performance computing applications
影响因子：
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作者：
McIntosh-Smith S;Price J;Sessions RB;Ibarra AA
通讯作者：
Ibarra AA