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Effects of Program Compression

  • Jari Heikkinen
  • Jarmo Takala
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4017)

Abstract

The size of the program code has become a critical design constraint in embedded systems, especially in handheld devices. Large program codes require large memories, which increase the size and cost of the chip. In addition, the power consumption is increased due to higher memory I/O bandwidth. Program compression is one of the most often used methods to reduce the size of the program code. In this paper, two compression approaches, dictionary-based compression and instruction template-based compression, were evaluated on a customizable processor architecture with parallel resources. The effects on area and power consumption were measured. Dictionary-based compression reduced the area at best by 77% and power consumption by 73%. Instruction template-based compression resulted in increase in both area and power consumption and hence turned out to be impractical.

Keywords

Power Consumption Discrete Cosine Transform Program Code Processor Core Program Memory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jari Heikkinen
    • 1
  • Jarmo Takala
    • 1
  1. 1.Tampere University of TechnologyTampereFinland

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