Abstract

The aim of this paper and research was to analyse the efficiency of the compiler-generated code for the graphics library and to present results obtained by optimization for the MIPS (Million Instructions Per Second) architecture. Libpng is the official Portable Network Graphics reference library for use in applications that read, create, and manipulate PNG (Portable Network Graphics) raster image files. Given the data structure in the PNG files, as well as the capabilities of the MIPS instruction set, it was expected that significant improvements could be made. Graphic library libpng is optimized by using MIPS instruction set extension and tested on MIPS Malta 74K platform. Test results show, that by using MIPS optimization test, execution times are substantially improved. Our libpng optimization have achieved performance increase of 10 %–78 % depending on optimized routine.

Highlights

  • The field of multimedia communications is evolving at a high speed and is conditioned by the introduction of new video and audio standards in new multimedia electronic devices

  • It is advisable to use images required by the authors of the libpng graphics library, which can be found on the libpng official website

  • We have proposed embedded software code optimization of the graphic Portable Network Graphics (PNG) library libpng on MIPS32 platform

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Summary

Introduction

The field of multimedia communications is evolving at a high speed and is conditioned by the introduction of new video and audio standards in new multimedia electronic devices. An important requirement for the end user is that multimedia electronic devices operate at a satisfactory speed in real-time. As new technologies require the increasing processing power of computer architectures, which is to some extent limited, it is necessary to significantly optimize software support on a given computer architecture to enable real-time operation. When there are plenty of hardware resources with higher processing speeds and power like desktop computers, achieving real-time performance is not a major issue. There has been an exponential growth in the use of mobile embedded systems like cell phones, tablets, video game console, etc.

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