Enhancing image processing capability by memory compression

Riyadh Baghdadi, Smail Niar

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

Abstract

System resource limitation has been for a long time a great obstacle for memory-intensive applications, and especially for high resolution image processing applications. Memory, and RAM in particular, has a big impact on the performance of those applications. Many solutions to reduce the effects of memory lack have been proposed in the literature, and most of them need an important execution time due to the usage of disk as a virtual memory space. In this paper we propose the use of memory compression through a new technique, called CompCache. This technique introduces new level in the memory hierarchy and uses compression to store 'swapped out' pages in memory instead of sending them to disk. In this way, disk accesses are reduced and by consequence application's speed is augmented. This technique improves greatly the performance of memoryintensive applications; particularly we focus on image processing. We evaluate the effects of CompCache on several benchmarks, implement suitable compression algorithms and show the results and the interactions with the operating system kernel when CompCache is used to manage the virtual memory.

Original languageEnglish (US)
Title of host publication2008 2nd International Conference on Signals, Circuits and Systems, SCS 2008
DOIs
StatePublished - 2008
Event2008 2nd International Conference on Signals, Circuits and Systems, SCS 2008 - Nabeul, Tunisia
Duration: Nov 7 2008Nov 9 2008

Publication series

Name2008 2nd International Conference on Signals, Circuits and Systems, SCS 2008

Conference

Conference2008 2nd International Conference on Signals, Circuits and Systems, SCS 2008
CountryTunisia
CityNabeul
Period11/7/0811/9/08

Keywords

  • Execution time
  • Index Terms-Image processing
  • Memory compression
  • Virtual memory

ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Control and Systems Engineering

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