DMCA
Energy Efficient Data Transfer and Storage Organization (1999)
| Venue: | In Proc. ISLPED ’99 |
BibTeX
@INPROCEEDINGS{Turbo99energyefficient,
author = {For Map Turbo and Curt Schurgers},
title = {Energy Efficient Data Transfer and Storage Organization},
booktitle = {In Proc. ISLPED ’99},
year = {1999},
pages = {76--81}
}
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Abstract
Turbo codes are the most recent breakthrough in coding theory. Although their decoding algorithm is highly data dominated, no systematic memory optimization study has been performed yet. We have applied the IMEC Data Transfer and Storage Exploration (DTSE) methodology to the MAP (Maximum A Posteriori) class of turbo decoding algorithms. We present an extensive overview of our optimizations and tradeoffs, which result in a parametric family of new optimized algorithms. The optimal choice of parameters depends on the specific turbo code and on the implementation target, which can be either hardware or software.
Keyphrases
energy efficient data transfer storage organization maximum posteriori imec data transfer recent breakthrough decoding algorithm parametric family specific turbo code turbo code extensive overview implementation target parameter depends storage exploration optimal choice systematic memory optimization study
