Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

A Translation Method of ARM Machine Code to LLVM-IR for Binary Code Parallelization and Optimization

Authors: Kohta Shigenobu; Kanemitsu Ootsu; Takeshi Ohkawa; Takashi Yokota;

A Translation Method of ARM Machine Code to LLVM-IR for Binary Code Parallelization and Optimization

Abstract

Recently, mobile computing and embedded devices equipped with high performance computing components such as multicore processor and GPU are becoming popular. In order to speedup user programs by making full use of these computing components, it is necessary to optimize the program according to the runtime environment on various types of devices. Binary code optimization is one promising solution. Especially, in order to optimize ARM-native program code for various target devices, using the LLVM compiler infrastructure for binary code optimization is considered quite useful. To realize this, we want to use various optimization modules of LLVM compiler, but they perform their processings on LLVM-IR (Intermediate Representation). Thus, we need to develop a frontend for LLVM that translates ARM machine code to LLVM-IR. In this paper, we make preliminary discussions on the ARM-to-LLVM-IR translation. The translated IR codes should match the optimization process of LLVM. However, what form of IR code is desired is unclear, so we aim at generating the IR code equivalent to the compiler-generated IR code. We discuss a code translation method by comparing with the IR codes generated by Clang from C source codes. Preliminary evaluation results show that our translation method can generate the IR codes equivalent to the one generated from C source program code.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!