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International Symposium on Turbo Codes and Iterative Information Processing

Coding theory for robust computing: Models, tools, and applications

Lara Dolecek

Published Sep 1, 2016• 0 citations
Publisher

Abstract

Computing under uncertainty has become increasingly important in modern information processing systems. In this work, we first review exciting recent results on the multi-faceted role coding approaches can play in this important discipline, including fundamental performance limits of noisy iterative algorithms and decoders, implications on system design, and coding-theoretic methods for approximate computing. We also explore connections between coding theory and other disciplines in modern computing, and we present several new and promising research directions in coding for modern computing and noisy iterative information processing.

DOI
10.1109/istc.2016.7593087

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