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Unequal Error Protection of Memories in LDPC Decoders

TLDR
The devised UEP method is divided in four adjustable levels, each one offering a different degree of protection, and shows an unmatched level of protection from errors at a small complexity and energy cost.
Abstract
Memories are one of the most critical components of many systems: due to exposure to energetic particles, fabrication defects and aging they are subject to various kinds of permanent and transient errors. In this scenario, Unequal error protection (UEP) techniques have been proposed in the past to encode stored information, allowing to detect and possibly recover from errors during load operations, while offering different levels of protection to partitions of codewords according to their importance. Low-density parity-check (LDPC) codes are used in many communication standards to encode the transmitted information: at reception, LDPC decoders heavily rely on memories to store and correct the received information. To ensure efficient and reliable decoding of information, the need to protect the memories used in LDPC decoders is of primary importance. In this paper we present a study on how to efficiently design UEP techniques for LDPC decoder memories. The devised UEP method is divided in four adjustable levels, each one offering a different degree of protection. The full UEP, along with simplified versions, has been implemented within an existing decoder and its area occupation and power consumption evaluated. Comparison with the literature on the subject shows an unmatched level of protection from errors at a small complexity and energy cost.

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Citations
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Journal ArticleDOI

ACOCO: Adaptive Coding for Approximate Computing on Faulty Memories

TL;DR: The Adaptive Coding for approximate Computing (ACOCO) framework is presented, which provides an analysis-guided design methodology to develop adaptive codes for different computations on the data read from faulty memories.
Journal ArticleDOI

SEFI Protection for Nanosat 16-Bit Chip Onboard Computer Memories

TL;DR: Two solutions are presented to protect a nano/pico satellite onboard computer memory prototype with 16-bit data words against SEFIs and SEUs and the approach to provide the error-correction capabilities is based on orthogonal latin square codes.
Proceedings ArticleDOI

Low-power LDPC decoder design exploiting memory error statistics

TL;DR: Simulation results of the proposed low-power LDPC decoder technique demonstrate that, by deliberately adjusting the scaled supply voltage to memory bits in different memory locations, the memory power consumption as well as the overall energy consumption of the LD PC decoder can be significantly reduced with negligible performance loss.
References
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Journal ArticleDOI

On Practical Implementation and Generalizations of $ \max^{\ast}$ Operator for Turbo and LDPC Decoders

TL;DR: It is shown how this generalized max8 operation can be adopted in LDPC decoding, achieving essentially optimal bit error rate performance with small computational complexity against other algorithms in joint turbo-LDPC architectures.
Proceedings ArticleDOI

Design of LDPC coding schemes for exploitation of bit error rate diversity across dies in NAND flash memory

TL;DR: A new LDPC coding scheme is proposed which exploits the BER diversity to its advantage and enables a system design for the average BER of the dies and an LDPC code design which is customized to the codeword split across multiple dies.
Journal ArticleDOI

Parallel Decodable Two-Level Unequal Burst Error Correcting Codes

TL;DR: A new class of two-level burst error correcting UEP codes and its parallel decoder is presented, which is more efficient than an existing code in terms of code rate, area and power consumption for the Parallel decoder.
Proceedings ArticleDOI

Research on unequal error protection with punctured convolutional codes in image transmission system over mobile channels

TL;DR: A new scheme of unequal error protection (UEP) in image transmission is proposed by means of adjusting the different code rates, the constraint length of the mother code and interleaving degree and simulation results show the superiority of UEP directly.
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Q1. What have the authors contributed in "Unequal error protection of memories in ldpc decoders" ?

Memories are one of the most critical components of many systems: due to exposure to energetic particles, fabrication defects and aging they are subject to various kinds of permanent and transient errors. In this paper the authors present a study on how to efficiently design UEP techniques for LDPC decoder memories.