Polymorphic Error Correction

In this paper, we propose a new memory error correction scheme, Polymorphic ECC, based on a novel idea of redundancy polymorphism for error correction. With redundancy polymorphism, we can use the check bits, i.e., parity bits in traditional ECC, to correct errors from different fault models. For example, the error correction procedure will use the same redundancy value for single-bit errors, double-bit errors, ChipKill, and others. As a result, Polymorphic ECC corrects more errors than traditional codes, which typically target a single fault model or require multiple redundancies for multi-fault model support, leading to higher storage overheads. Our construction is very compact, allowing us to embed an inlined cryptographic message authentication code (MAC) with each cacheline, ensuring data integrity and near 100% error detection without needing any extra storage. The MAC, further permits iterative correction among the many supported fault models. In the paper, we show that the novel combination of redundancy polymorphism with iterative correction, corrects errors due to fault models not covered by traditional codes and guarantees data integrity with up to 60-bit MACs while using 64-byte cachelines and standard 40-bit DDR5 memory channels.

Authors

Institutions

Publication Details

Published
2024-11-02
DOI
https://doi.org/10.1109/micro61859.2024.00027
Primary Topic
Machine Learning and Data Classification
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Polymorphic Error Correction

Simha Sethumadhavan, Evgeny Manzhosov
Machine Learning and Data Classification
article

Polymorphic Error Correction

Simha Sethumadhavan, Evgeny Manzhosov
article en

Abstract

In this paper, we propose a new memory error correction scheme, Polymorphic ECC, based on a novel idea of redundancy polymorphism for error correction. With redundancy polymorphism, we can use the check bits, i.e., parity bits in traditional ECC, to correct errors from different fault models. For example, the error correction procedure will use the same redundancy value for single-bit errors, double-bit errors, ChipKill, and others. As a result, Polymorphic ECC corrects more errors than traditional codes, which typically target a single fault model or require multiple redundancies for multi-fault model support, leading to higher storage overheads. Our construction is very compact, allowing us to embed an inlined cryptographic message authentication code (MAC) with each cacheline, ensuring data integrity and near 100% error detection without needing any extra storage. The MAC, further permits iterative correction among the many supported fault models. In the paper, we show that the novel combination of redundancy polymorphism with iterative correction, corrects errors due to fault models not covered by traditional codes and guarantees data integrity with up to 60-bit MACs while using 64-byte cachelines and standard 40-bit DDR5 memory channels.

Columbia University (US)
Openalex Percentile: Top 80%
Machine Learning and Data Classification
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.