A novel approach for digital waveform compression

  • Authors:
  • Edwin Naroska;Shanq-Jang Ruan;Chia-Lin Ho;Said Mchaalia;Feipei Lai;Uwe Schwiegelshohn

  • Affiliations:
  • University of Dortmund, Germany;National Taiwan University, Taiwan;National Taiwan University, Taiwan;University of Dortmund, Germany;National Taiwan University, Taiwan;University of Dortmund, Germany

  • Venue:
  • ASP-DAC '03 Proceedings of the 2003 Asia and South Pacific Design Automation Conference
  • Year:
  • 2003

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Abstract

The waveform data, which is gathered during digital simulation of large and complex systems easily fill up huge amounts of disk space on the simulation computer. This is specially true for many deep-submicron designs. Hence, we developed a set of algorithms and techniques which can be used to efficiently compress digital waveforms without losing any significant information from the original data. Experimental results show that compression ratios of up to 300 compared to a original VCD formatted file can be achieved.