CCAMP: OpenACC和OpenMP的集成翻译和优化框架

Jacob Lambert, Seyong Lee, J. Vetter, A. Malony
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引用次数: 12

摘要

在当前和未来的超级计算机中,异构计算和探索专用加速器是不可避免的。尽管这种设备的多样性有望提高性能,但架构的阵列带来了编程挑战。为了应对这些挑战,出现了高级编程策略,例如OpenMP卸载模型和OpenACC。然而,供应商特定的和开源工具对这些标准的不同级别的支持,以及缺乏跨设备的性能可移植性,阻碍了这些标准实现其目标。为了解决这些缺点,我们提出了CCAMP,一个OpenMP和OpenACC可互操作的框架。CCAMP提供两个主要功能:两个标准之间的语言翻译和每个标准中特定于设备的指令优化。我们展示了通过使用CCAMP框架,程序员可以很容易地将不可移植的代码移植到新的体系结构的新生态系统中。此外,通过使用CCAMP的特定于设备的指令优化,用户可以使用单个源代码实现跨架构的优化性能。
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CCAMP: An Integrated Translation and optimization Framework for OpenACC and OpenMP
Heterogeneous computing and exploration into specialized accelerators are inevitable in current and future supercomputers. Although this diversity of devices is promising for performance, the array of architectures presents programming challenges. High-level programming strategies have emerged to face these challenges, such as the OpenMP offloading model and OpenACC. However, the varying levels of support for these standards within vendor-specific and open-source tools, as well as the lack of performance portability across devices, have prevented the standards from achieving their goals. To address these shortcomings, we present CCAMP, an OpenMP and OpenACC interoperable framework. CCAMP provides two primary facilities: language translation between the two standards and device-specific directive optimization within each standard. We show that by using the CCAMP framework, programmers can easily transplant non-portable code into new ecosystems for new architectures. Additionally, by using CCAMP’s device-specific directive optimizations, users can achieve optimized performance across architectures using a single source code.
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