Performance auto-tuning of GPU programs using machine learning
Performance auto-tuning of GPU programs using machine learning
批准号:
451889-2013
负责人:
Abdelrahman, Tarek
金额:
$2.9万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2014
资助国家:
加拿大
项目状态:
已结题
起止时间:
2014-01-01 至 2015-12-31
中文摘要
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英文摘要
There is a phenomenal growth in software applications for mobile devices such as smart phones and tablets. This growth increases the pressure on mobile processor manufacturers such as Intel, AMD and Qualcomm to make more powerful processors that consume less power. Today, these manufacturers are making processors with multiple cores (CPUs) combined with a general-purpose graphics-processing unit (GPU) on the same chip. The use of a GPU is attractive because the GPU can deliver a ten-fold increase in speed at a fraction of the power, compared to a CPU. However, this GPU benefit can be achieved only if programs are carefully written and tuned for the GPU--a process that is complex and error prone.
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