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

9 years 3 months ago
Profiling of lossless-compression algorithms for a novel biomedical-implant architecture
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) addressgeneration, load, branch and compare instructions, and ii) in...
Christos Strydis, Georgi Gaydadjiev
Added 18 Oct 2010
Updated 18 Oct 2010
Type Conference
Year 2008
Where CODES
Authors Christos Strydis, Georgi Gaydadjiev
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