Precision Tuning in Parallel Applications

Gabriele Magnani, Lev Denisov, Daniele Cattaneo, G. Agosta
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引用次数: 0

Abstract

Nowadays, parallel applications are used every day in high performance computing, scientific computing and also in everyday tasks due to the pervasiveness of multi-core architectures. However, several implementation challenges have so far stifled the integration of parallel applications and automatic precision tuning. First of all, tuning a parallel application introduces difficulties in the detection of the region of code that must be affected by the optimization. Moreover, additional challenges arise in handling shared variables and accumulators. In this work we address such challenges by introducing OpenMP parallel programming support to the TAFFO precision tuning framework. With our approach we achieve speedups up to 750% with respect to the same parallel application without precision tuning. 2012 ACM Subject Classification Software and its engineering → Compilers; Theory of computation → Parallel computing models
并行应用程序中的精密调谐
如今,由于多核架构的普及,并行应用程序每天都在高性能计算、科学计算和日常任务中使用。然而,到目前为止,一些实现挑战阻碍了并行应用程序和自动精确调优的集成。首先,调优并行应用程序会给检测必须受优化影响的代码区域带来困难。此外,在处理共享变量和累加器时还会出现额外的挑战。在这项工作中,我们通过向TAFFO精确调优框架引入OpenMP并行编程支持来解决这些挑战。通过我们的方法,在没有精确调优的情况下,相对于相同的并行应用程序,我们实现了高达750%的加速。2012 ACM学科分类软件及其工程→编译器;计算理论→并行计算模型
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