Paper Info
Title
Coding for Multilevel Heterogeneous Memories
Abstract
We consider the problem of information storage in multilevel heterogeneous memories, where different cells can support different data level-sets. Such heterogeneity arises due to variability in the physical cell characteristics in emerging technologies such as Phase Change Memory (PCM) technology, which is our specific motivation. We show that the heterogeneous memory problem can be formulated in terms of the information-theoretic `Channel Coding with Side-Information at Transmitter' (CSIT) paradigm. We present a binary decomposition of the problem, and show that this decomposition allows for simple binary code constructions. We discuss one such code-construction based on binary Luby Transform (LT) code matrices. We present simulation results using cell variability data collected from a PCM test array, and show that the proposed approach can yield a significant advantage in storage capacity.
Year
DOI
Venue
2010
10.1109/ICC.2010.5502495
Communications
Keywords
Field
DocType
radio transmitters,annealing,level set,electric resistance,crystallization,binary codes,transform coding,emerging technology,channel coding,nonvolatile memory,phase change memory,data collection,amorphous materials
Transmitter,Phase-change memory,Matrix (mathematics),Computer science,Binary code,Transform coding,Theoretical computer science,Coding (social sciences),Information storage,Binary number
Conference
ISSN
ISBN
Citations 
1550-3607
978-1-4244-6402-9
8
PageRank 
References 
Authors
0.78
3
6
Name
Order
Citations
PageRank
Ashish Jagmohan142836.12
Luis Alfonso Lastras-Montaño227614.48
Michele Franceschini373438.32
Mayank Sharma416822.18
Roger Cheek580.78
Lastras-Montano, L.A.61637.27