Title :
High throughput low latency LDPC decoding on GPU for SDR systems
Author :
Guohui Wang ; Wu, Min ; Bei Yin ; Cavallaro, J.R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
Abstract :
In this paper, we present a high throughput and low latency LDPC (low-density parity-check) decoder implementation on GPUs (graphics processing units). The existing GPU-based LDPC decoder implementations suffer from low throughput and long latency, which prevent them from being used in practical SDR (software-defined radio) systems. To overcome this problem, we present optimization techniques for a parallel LDPC decoder including algorithm optimization, fully coalesced memory access, asynchronous data transfer and multi-stream concurrent kernel execution for modern GPU architectures. Experimental results demonstrate that the proposed LDPC decoder achieves 316 Mbps (at 10 iterations) peak throughput on a single GPU. The decoding latency, which is much lower than that of the state of the art, varies from 0.207 ms to 1.266 ms for different throughput requirements from 62.5 Mbps to 304.16 Mbps. When using four GPUs concurrently, we achieve an aggregate peak throughput of 1.25 Gbps (at 10 iterations).
Keywords :
codecs; data communication; decoding; graphics processing units; parity check codes; software radio; GPU architectures; GPU systems; GPU-based LDPC decoder; LDPC decoder; SDR systems; algorithm optimization; asynchronous data transfer; bit rate 1.25 Gbit/s; bit rate 316 Mbit/s; bit rate 62.5 Mbit/s to 304.16 Mbit/s; coalesced memory access; decoding latency; graphics processing units; high throughput low latency LDPC decoding; multistream concurrent kernel execution; optimization techniques; parallel LDPC decoder; software-defined radio; Decoding; Graphics processing units; Kernel; Message systems; Parity check codes; Throughput; WiMAX; GPU; LDPC codes; high throughput; low latency; software-defined radio;
Conference_Titel :
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
Conference_Location :
Austin, TX
DOI :
10.1109/GlobalSIP.2013.6737137