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The use of compiler optimizations for embedded systems software

Joe Bungo

Open publisher page 7 citations

Abstract

Optimizing embedded applications using a compiler can generally be broken down into two major categories: hand-optimizing code to take advantage of a particular processor's compiler and applying built-in optimization options to proven and well-polished code. The former is well documented for different processors, but little has been done to find generalized methods for optimal sets of compiler options based on common goal criteria such as application code size, execution speed, power consumption, and build time. This article discusses the fundamental differences between these two general categories of optimizations using the compiler. Examples of common, built-in compiler options are presented using a simulated ARM processor and C compiler, along with a simple methodology that can be applied to any embedded compiler for finding an optimal set of compiler options.

About this research paper

What this paper is about

Optimizing embedded applications using a compiler can generally be broken down into two major categories: hand-optimizing code to take advantage of a particular processor's compiler and applying built-in optimization options to proven and well-polished code. The former is well documented for different processors, but little has been done to find generalized methods for optimal sets of compiler options based on common goal criteria such as application code size, execution speed, power consumption, and build time. This article discusses the fundamental differences between these two general categories of optimizations using the compiler. Examples of common, built-in compiler options are presented using a simulated ARM processor and C compiler, along with a simple methodology that can be applied to any embedded compiler for finding an optimal set of compiler options.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Optimizing embedded applications using a compiler can generally be broken down into two major categories: hand-optimizing code to take advantage of a particular processor's compiler and applying built-in optimization options to proven and well-polished code. The former is well documented for different processors, but little has been done to find generalized methods for optimal sets of compiler options based on common goal criteria such as application code size, execution speed, power consumption, and build time. This article discusses the fundamental differences between these two general categories of optimizations using the compiler. Examples of common, built-in compiler options are presented using a simulated ARM processor and C compiler, along with a simple methodology that can be applied to any embedded compiler for finding an optimal set of compiler options.

Key concepts: Compiler, Computer science, Interprocedural optimization, Optimizing compiler, Loop optimization, Compiler correctness, Compiler construction, Parallel computing

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