arrow
返回

An efficient code generation technique for tiled iteration spaces

delete2003-10-01
delete17
PRE
AI
G
Georgios Goumas
N
Nectarios Koziris
DOI:10.1109/TPDS.2003.1239870delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
This paper presents a novel approach for the problem of generating tiled code for nested for-loops, transformed by a tiling transformation. Tiling or supernode transformation has been widely used to improve locality in multilevel memory hierarchies, as well as to efficiently execute loops onto parallel architectures. However, automatic code generation for tiled loops can be a very complex compiler work, especially when nonrectangular, tile shapes and iteration space bounds are concerned. Our method considerably enhances previous work on rewriting tiled loops: by considering parallelepiped tiles and arbitrary iteration space shapes. In order to generate tiled code, we first enumerate all tiles containing points within the iteration space and, second, sweep all points within each tile. For the first subproblem, we refine upon previous results concerning the computation of new loop bounds of an iteration space that has been transformed by a nonunimodular transformation. For the second subproblem, we transform the initial parallelepiped tile into a rectangular one, in order to generate efficient code with the aid of a nonunimodular transformation matrix and its Hermite Normal Form (HNF). Experimental results show that the proposed method significantly accelerates the compilation process and generates much more efficient code.
Keyword:
loop tiling
supernodes
nonunimodular transformations
fourier-motzkin elimination
code generation
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

IEEE Transactions on Parallel and Distributed Systems 封面图
IEEE Transactions on Parallel and Distributed Systems
IF:
6
论文数:
5.2K
被引数:
1.1W

机构

暂无机构信息
引用论文

引用论文

The cortical structure of functional networks associated with age-related cognitive abilities in older adults
err2018-09-21
err0
errOAAI
errMichael B. Kranz; Michelle W. Voss; Gillian E. Cooke; Sarah E. Banducci; Agnieszka Z. Burzynska; Arthur F. Kramer
err分享
err收藏
学者 查看更多内容