# Multi-Stream LDPC Decoder on GPU of Mobile Devices

## TL;DR

This paper presents a multi-stream LDPC decoder optimized for mobile GPUs, enabling real-time decoding on mobile devices and reducing CPU load, thus improving error correction efficiency in mobile communications.

## Contribution

It introduces a novel multi-stream GPU-based LDPC decoding method tailored for mobile devices, enhancing real-time performance and load management compared to traditional hardware solutions.

## Key findings

- Achieves efficient real-time LDPC decoding on mobile GPU
- Controls CPU load effectively through multi-stream architecture
- Demonstrates practical implementation on NVIDIA Tegra SoC

## Abstract

Low-density parity check (LDPC) codes have been extensively applied in mobile communication systems due to their excellent error correcting capabilities. However, their broad adoption has been hindered by the high complexity of the LDPC decoder. Although to date, dedicated hardware has been used to implement low latency LDPC decoders, recent advancements in the architecture of mobile processors have made it possible to develop software solutions. In this paper, we propose a multi-stream LDPC decoder designed for a mobile device. The proposed decoder uses graphics processing unit (GPU) of a mobile device to achieve efficient real-time decoding. The proposed solution is implemented on an NVIDIA Tegra board as a system on a chip (SoC), where our results indicate that we can control the load on the central processing units through the multi-stream structure.