Parallel Decoding for Multi-Stage BCH Decoder
Abstract
3D heterogeneous processor (commonly termed as 3DHP) integrating multiple processor (such as CPU/GPU) and DRAM dies vertically interconnected by a massive number of Through-Silicon Vias (TSVs) is expected to address the limited bandwidth, high latency and energy consumption of off-chip DRAM. However, spatial and temporal variability due to hotspots in on-chip thermal gradient may result in wide bit error rate variation in DRAM dies. A multi-path BCH decoder has been recently proposed to efficiently address this issue. In this paper, a novel parallel decoding approach for the Multi-Stage BCH decoder is proposed and validated. The proposed approach efficiently leverages the multiple decoding paths to decode multiple words and minimizes the overall decoding latency.
Recommended Citation
P. Metku et al., "Parallel Decoding for Multi-Stage BCH Decoder," Proceedings of the International SoC Design Conference (2016, Jeju, South Korea), pp. 107 - 108, Institute of Electrical and Electronics Engineers (IEEE), Oct 2016.
The definitive version is available at https://doi.org/10.1109/ISOCC.2016.7799756
Meeting Name
International SoC Design Conference: ISOCC (2016: Oct. 23-26, Jeju, South Korea)
Department(s)
Electrical and Computer Engineering
Sponsor(s)
National Science Foundation (U.S.)
Keywords and Phrases
Bit Error Rate; Electronics Packaging; Energy Utilization; Image Coding; Parallel Processing Systems; Programmable Logic Controllers; Three Dimensional Integrated Circuits; BCH Decoders; Heterogeneous Processors; Limited Bandwidth; Multiple Decoding Paths; Multiple Processors; Parallel Decoding; Spatial and Temporal Variability; Through Silicon Vias; Decoding
International Standard Book Number (ISBN)
978-1509032198; 978-1509032204
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2016 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Oct 2016
Comments
This material is based upon work supported by the National Science Foundation under Grant No. CCF-1337167 and CCF-1539840, in part.