Parallel decoder for Low Density Parity Check Codes: A MPSoC study
| Autor: | Sebastien Lafond, Georgios Georgakarakos, Sudeep Kanur, Antti Simla, Kristian Nybom, Jérémie Lagravière, Johan Lilius |
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| Rok vydání: | 2022 |
| Předmět: |
FOS: Computer and information sciences
Computer Science - Performance Speedup Computer science Concatenated error correction code List decoding Data_CODINGANDINFORMATIONTHEORY Parallel computing Sequential decoding MPSoC Performance (cs.PF) Network on a chip Computer Science - Distributed Parallel and Cluster Computing Distributed Parallel and Cluster Computing (cs.DC) Low-density parity-check code Decoding methods |
| Zdroj: | HPCS |
| DOI: | 10.48550/arxiv.2211.14382 |
| Popis: | The near channel performance of Low Density Parity Check Codes (LDPC) has motivated its wide applications. Iterative decoding of LDPC codes provides significant implementation challenges as the complexity grows with the code size. Recent trends in integrating Multiprocessor System on Chip (MPSoC) with Network on Chip (NoC) gives a modular platform for parallel implementation. This paper presents an implementation platform for decoding LDPC codes based on HeMPS, an open source MPSoC framework based on NoC communication fabric. Reduced minimum sum algorithm is used for decoding LDPC codes and simulations are performed using HeMPS tool. The data rate and speedup factor measured for decoding a rate 1/2 LDPC code characterised by 252x504 parity matrix is presented Comment: 2013 International Conference on High Performance Computing & Simulation (HPCS) |
| Databáze: | OpenAIRE |
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