Profiling of lossless-compression algorithms for a novel biomedical-implant architecture

Christos Strydis*, Georgi N. Gaydadjiev

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

6 Citations (Scopus)

Abstract

In view of a booming market for microelectronic implants, our ongoing research work is focusing on the specification and design of a novel biomedical microprocessor core targeting a large subset of existing and future biomedical applications. Towards this end, we have taken steps in identifying various tasks commonly required by such applications and profiling their behavior and requirements. A prominent family of such tasks is lossless data compression. In this work we profile a large collection of compression algorithms on suitably selected biomedical workloads. Compression ratio, average and peak power consumption, total energy budget, compression rate and program-code size metrics have been evaluated. Findings indicate the best-performing algorithms across most metrics to be mlzo (scores high in 5 out of 6 imposed metrics) and fin (present in 4 out of 6 metrics). Further mlzo profiling reveals the dominance of i) address-generation, load, branch and compare instructions, and ii) interdependent logical-logical and logical-compare instructions combinations.

Original languageEnglish
Title of host publicationEmbedded Systems Week 2008 - Proceedings of the 6th IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2008
PublisherACM Press Digital Library
Pages109-114
Number of pages6
ISBN (Print)9781605584706
DOIs
Publication statusPublished - 1-Dec-2008
Externally publishedYes
EventEmbedded Systems Week 2008 - 6th IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2008 - Atlanta, GA, United States
Duration: 19-Oct-200824-Oct-2008

Conference

ConferenceEmbedded Systems Week 2008 - 6th IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2008
CountryUnited States
CityAtlanta, GA
Period19/10/200824/10/2008

Keywords

  • Implantable devices
  • Lossless compression
  • Microarchitectural profiling
  • Ultra-low power

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