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相关作者:龚双瑾曲明曲学楼王富昕张长海更多>>
相关机构:邮电部上海交通大学吉林大学更多>>
相关期刊:《Journal of Computer and Communications》《Journal of Systems Engineering and Electronics》《Communications and Network》《Tsinghua Science and Technology》更多>>
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Improving performance portability for GPU-specific Open CL kernels on multi-core/many-core CPUs by analysis-based transformations
《Frontiers of Information Technology & Electronic Engineering》2015年第11期899-916,共18页Mei WEN Da-fei HUANG Chang-qing XUN Dong CHEN 
Project supported by the National Natural Science Foundation of China(No.61272145);the National High-Tech R&D Program(863)of China(No.2012AA012706)
OpenCL is an open heterogeneous programming framework. Although OpenCL programs are func- tionally portable, they do not provide performance portability, so code transformation often plays an irreplaceable role. When ...
关键词:OpenCL Performance portability Multi-core/many-core CPU Analysis-based transformation 
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