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Index Vector Elimination--Making Index Vectors Affordable

机译:消除索引向量-使负担得起的索引向量

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摘要

Compiling indexing operations on n-dimensional arrays into efficiently executable code is a challenging task. This paper focuses on the reduction of offset computations as they typically occur when transforming index vectors into offsets for linearized representations of n-dimensional arrays. We present a high-level optimization to that effect which is generally applicable, even in the presence of statically unknown rank (n). Our experiments show run-time improvements between a factor of 2 and 16 on a set of real-world benchmarks.
机译:将n维数组上的索引操作编译为有效的可执行代码是一项艰巨的任务。本文着重于减少偏移量计算,因为在将索引向量转换为用于n维数组线性化表示的偏移量时通常会发生偏移量计算。我们针对这种效果提出了一个高级优化,即使在存在静态未知等级(n)的情况下,也普遍适用。我们的实验显示,在一组实际的基准测试中,运行时间的改善是2到16倍。

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