KART - A Runtime Compilation Library for Improving HPC Application Performance
KART - A Runtime Compilation Library for Improving HPC Application Performance
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DOI：
10.1007/978-3-319-67630-2_29
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发表时间：
2017-06
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影响因子：
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通讯作者：
M. Noack;Florian Wende;Georg Zitzlsberger;Michael Klemm;T. Steinke
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作者：
M. Noack;Florian Wende;Georg Zitzlsberger;Michael Klemm;T. Steinke
提前编译器优化的有效性在很大程度上取决于编译时可用的信息量。不能使用仅在运行时可用的特定于输入的信息，尽管它通常确定循环计数、分支谓词和路径以及内存访问模式。它对于生成高效的SIMD矢量化代码也是至关重要的。这与为亿级计算铺平道路的多核体系结构尤其相关，这些体系结构对代码优化更加敏感。我们探索了在编译时使用特定于输入的信息的设计空间，并介绍了KART，这是一个库解决方案，允许开发人员在应用程序运行时编译、链接和执行代码(例如，C、、Fortran)。除了性能关键型代码的运行时编译之外，KART还可以用于使用不同的输入、编译器和选项多次实例化相同的代码。其他技术，如自动调优和代码生成，可以集成到支持KART的应用程序中，而不是围绕它编写脚本。我们评估了不同合成内核的运行时和编译成本，并展示了对两个真实世界的应用程序HEOM和WSM6代理的有效性。
The effectiveness of ahead-of-time compiler optimization heavily depends on the amount of available information at compile time. Input-specific information that is only available at runtime cannot be used, although it often determines loop counts, branching predicates and paths, as well as memory-access patterns. It can also be crucial for generating efficient SIMD-vectorized code. This is especially relevant for the many-core architectures paving the way to exascale computing, which are more sensitive to code-optimization. We explore the design-space for using input-specific information at compile-time and present KART, a library solution that allows developers to compile, link, and execute code (eg, C,, Fortran) at application runtime. Besides mere runtime compilation of performance-critical code, KART can be used to instantiate the same code multiple times using different inputs, compilers, and options. Other techniques like auto-tuning and code-generation can be integrated into a KART-enabled application instead of being scripted around it. We evaluate runtimes and compilation costs for different synthetic kernels, and show the effectiveness for two real-world applications, HEOM and a WSM6 proxy.