Compiler-guided data compression for reducing memory consumption of embedded applications

O. Ozturk, G. Chen, M. Kandemir, I. Kolcu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations


Memory system presents one of the critical challenges on embedded system design and optimization. This is mainly due to ever-increasing code complexity of embedded applications and exponential increase witnessed in the amount of data they manipulate. As a result, reducing memory space occupancy of embedded applications is very important and will be even more important in the next decade. Motivated by this observation, this paper presents and evaluates a compiler-driven approach to data compression for reducing memory space occupancy. Our goal in this paper is to study how automated compiler support can help in deciding the set of data elements to compress/decompress and the points during execution at which these compressions/decompressions should be performed. The proposed compiler support achieves this by analyzing the source code of the application to be optimized and identifying the order in which the different data blocks are accessed. Based on this analysis, the compiler then automatically inserts compression/decompression calls in the application code. The compression calls target the data blocks that are not expected to be used in the near future, whereas the decompression calls target those data blocks with expected reuse but currently in compressed form.

Original languageEnglish (US)
Title of host publicationProceedings of the ASP-DAC 2006
Subtitle of host publicationAsia and South Pacific Design Automation Conference 2006
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Print)0780394518, 9780780394513
StatePublished - 2006
EventASP-DAC 2006: Asia and South Pacific Design Automation Conference 2006 - Yokohama, Japan
Duration: Jan 24 2006Jan 27 2006

Publication series

NameProceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC


OtherASP-DAC 2006: Asia and South Pacific Design Automation Conference 2006

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering


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