A Backend Tool for the Integration of Memory Optimizations into Embedded Software

Manuel Strobel, M. Radetzki
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引用次数: 2

Abstract

Higher functionality combined with increasingly data-hungry and more complex applications make embedded system design steadily more complex. This situation, however, is in direct contrast to development effort in terms of cost and time. A central pillar to face these challenges is system design automation. In this context and regarding increasingly software-centric embedded applications, this work presents a design automation tool for the transparent integration of memory subsystem optimization results into the embedded software at hand. Our solution is based on the LLVM backend and neatly integrated into the LLVM low-level compiler llc. In this paper, the workflow of our code generation method is described in general and further discussed on the example of a concrete implementation for the ARMv6-M architecture. Experiments for this platform and using 10 representative embedded benchmarks prove the functionality of our method by targeted tests and show the successful application of the tool to selected use cases from the field of memory subsystem optimization.
嵌入式软件中内存优化集成的后端工具
更高的功能与日益增长的数据需求和更复杂的应用相结合,使嵌入式系统设计变得更加复杂。然而,就成本和时间而言,这种情况与开发工作形成了直接对比。面对这些挑战的核心支柱是系统设计自动化。在这种背景下,随着越来越多的以软件为中心的嵌入式应用,这项工作提出了一个设计自动化工具,用于将内存子系统优化结果透明地集成到手头的嵌入式软件中。我们的解决方案基于LLVM后端,并巧妙地集成到LLVM低级编译器llc中。本文概述了我们的代码生成方法的工作流程,并通过ARMv6-M架构的具体实现示例进行了进一步的讨论。在该平台上进行的实验和使用了10个具有代表性的嵌入式基准测试,通过有针对性的测试证明了我们的方法的功能性,并展示了该工具在内存子系统优化领域的成功应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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