Online Adaptive Code Generation and Tuning

Ananta Tiwari, J. Hollingsworth
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引用次数: 73

Abstract

In this paper, we present a runtime compilation and tuning framework for parallel programs. We extend our prior work on our auto-tuner, Active Harmony, for tunable parameters that require code generation (for example, different unroll factors). For such parameters, our auto-tuner generates and compiles new code on-the-fly. Effectively, we merge traditional feedback directed optimization and just-in-time compilation. We show that our system can leverage available parallelism in today's HPC platforms by evaluating different code-variants on different nodes simultaneously. We evaluate our system on two parallel applications and show that our system can improve runtime execution by up to 46% compared to the original version of the program.
在线自适应代码生成和调优
在本文中,我们提出了一个并行程序运行时编译和调优框架。我们扩展了之前在自动调谐器Active Harmony上的工作,用于需要生成代码的可调参数(例如,不同的展开因子)。对于这些参数,我们的自动调谐器动态生成并编译新的代码。有效地,我们合并了传统的反馈导向优化和即时编译。我们展示了我们的系统可以通过同时评估不同节点上的不同代码变体来利用当今HPC平台上可用的并行性。我们在两个并行应用程序上对我们的系统进行了评估,结果表明,与原始版本的程序相比,我们的系统可以将运行时执行效率提高46%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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