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An efficient data dependence analysis for parallelizing compilers

机译:用于并行化编译器的高效数据依赖分析

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摘要

A novel algorithm, called the lambda test, is presented for an efficient and accurate data dependence analysis of multidimensional array references. It extends the numerical methods to allow all dimensions of array references to be tested simultaneously. Hence, it combines the efficiency and the accuracy of both approaches. This algorithm has been implemented in Parafrase, a Fortran program parallelization restructurer developed at the University of Illinois at Urbana-Champaign. Some experimental results are presented to show its effectiveness.
机译:提出了一种称为lambda测试的新颖算法,可以对多维数组引用进行有效而准确的数据依赖性分析。它扩展了数值方法,以允许同时测试数组引用的所有维度。因此,它结合了两种方法的效率和准确性。该算法已在Parafrase中实现,Parafrase是伊利诺伊大学香槟分校的Fortran程序并行化重组器。提出了一些实验结果以证明其有效性。

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