Intra-Tile Parallelization for Two-Level Perfectly Nested Loops With Non-Uniform Dependences

IF 1.5 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Computer Journal Pub Date : 2020-03-01 DOI:10.1093/comjnl/bxaa050
Zahra Abdi Reyhan;Shahriar Lotfi;Ayaz Isazadeh;Jaber Karimpour
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引用次数: 3

Abstract

Most important scientific and engineering applications have complex computations or large data. In all these applications, a huge amount of time is consumed by nested loops. Therefore, loops are the main source of the parallelization of scientific and engineering programs. Many parallelizing compilers focus on parallelization of nested loops with uniform dependences, and parallelization of nested loops with non-uniform dependences has not been extensively investigated. This paper addresses the problem of parallelizing two-level nested loops with non-uniform dependences. The aim is to minimize the execution time by improving the load balancing and minimizing the inter-processor communication. We propose a new tiling algorithm, k-StepIntraTiling, using bin packing problem to minimize the execution time. We demonstrate the effectiveness of the proposed method in several experiments. Simulation and experimental results show that the algorithm effectively reduces the total execution time of several benchmarks compared to the other tiling methods.
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具有非均匀依赖关系的两级完美嵌套循环的块内并行化
大多数重要的科学和工程应用都有复杂的计算或大数据。在所有这些应用程序中,嵌套循环消耗了大量的时间。因此,循环是科学和工程程序并行化的主要来源。许多并行编译器专注于具有一致依赖性的嵌套循环的并行化,而具有非一致依赖性嵌套循环的平行化尚未得到广泛的研究。本文讨论了具有非均匀依赖关系的两级嵌套循环的并行化问题。其目的是通过改进负载平衡和最小化处理器间通信来最小化执行时间。我们提出了一种新的平铺算法k-StepIntraTiling,该算法利用bin打包问题来最小化执行时间。我们在几个实验中证明了所提出的方法的有效性。仿真和实验结果表明,与其他平铺方法相比,该算法有效地减少了几个基准测试的总执行时间。
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来源期刊
Computer Journal
Computer Journal 工程技术-计算机:软件工程
CiteScore
3.60
自引率
7.10%
发文量
164
审稿时长
4.8 months
期刊介绍: The Computer Journal is one of the longest-established journals serving all branches of the academic computer science community. It is currently published in four sections.
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