Publication Details
Majority Type and Redundancy Level Influences on Redundant Data Types Approach for HLS
Podivínský Jakub, Ing., Ph.D. (UFYZ)
Kotásek Zdeněk, doc. Ing., CSc.
Krčma Martin, Ing., Ph.D. (UFYZ)
High-Level Synthesis, Redundant Data Type, Level of Redundancy, Voter Component,
CatapultC, Fault Tolerance.
Due to the increasing demand for reliable computation in environments that
require electronic systems to withstand an increased occurrence of faults (e.g.
space, aerospace and medicine), new techniques of the so-called Fault Tolerance
insertion arise. From another perspective, today's systems have become incredibly
large and complex. New methodologies (e.g. High-Level Synthesis) are used to
reduce time to market and simplify the verification of the resulting system. In
our research we focus on an implementation of Fault Tolerance into complex
systems with the usage of High-Level Synthesis. In our approach, we are using
newly designed Data Types that introduce redundancy on the functional level of an
algorithm. In this student paper, our previously presented technique is extended
by another means of redundancy and also by a new type of voting component. The
systems incorporating various levels of redundancies using our approach are
experimentally tested on the application of a robot controller. The paper also
briefly presents the evaluation process and investigates its correct settings.
The results show that the bit-based majority function is more suitable for usage
with our Redundant Data Types.
@inproceedings{BUT154986,
author="Jakub {Lojda} and Jakub {Podivínský} and Zdeněk {Kotásek} and Martin {Krčma}",
title="Majority Type and Redundancy Level Influences on Redundant Data Types Approach for HLS",
booktitle="2018 16th Biennial Baltic Electronics Conference (BEC)",
year="2018",
pages="1--4",
publisher="IEEE Computer Society",
address="Tallinn",
doi="10.1109/BEC.2018.8600951",
isbn="978-1-5386-7312-6",
url="https://www.fit.vut.cz/research/publication/11600/"
}