A GPGPU Programming Framework Based on a Shared-Memory ModelKazuhiko Ohno, Dai Michiura,Masaki Matsumoto,Takahiro Sasaki,Toshio KondoParallel and distributed computing and systems（2013）被引用4|浏览6摘要Although general purpose computation on GPU (GPGPU) seems promising method for high performance computing, current programming frameworks such as CUDA and OpenCL are much difficult to achieve high performance.更多查看译文关键词GPU Computing,High-Performance Computing,Simulation Platforms,Parallel Computing,Performance OptimizationPDF原文链接分享引用加入学术空间AI Read Science数据免责声明页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果，我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问，可以通过电子邮件方式联系我们：report@aminer.cnAI 解读一键生成论文网页Chat Paper正在生成论文摘要
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