HEncode: A Highly Modularized and Efficient FPGA QC-LDPC Encoder using High Level Synthesis

QC-LDPC (Quasi Cyclic Low-Density Parity-Check) codes, as a regular block-based code, have been preva-lently adopted in communication and storage fields to ensure high reliability and bandwidth of data channels. However, existing Field-Programmable Gate Array (FPGA) QC-LDPC encoders designed by RTL experts are generally dedicated to specialized LDPC codes and hardware platforms without flexibility and scalability. Recently, High-Level Synthesis (HLS) was introduced to compile a high-level encoding logic into Register Transfer Level (RTL) implementations, which are low performance and hardware efficiency due to the overlarge HLS-to-RTL design space, especially for large-scale FPGA hardware. This paper proposes a highly modularized and efficient FPGA QC-LDPC encoder, HEncoder, to fully leverage HLS to achieve high bandwidth, flexibility in both code parameters, and hardware efficiency. Firstly, HEncode presents an efficient Encode Block (EB) fully exploiting the FPGA LUT characteristic. Second, HEncode designs a low-level subword-encoding pipeline using multiple EBs and subword-parallel Encode Units (EU). Third, HEncoder designs an encode module with a pipelined data stream consecutively passing Input, EU array, and Output to balance bandwidths of accessing and encoding words. Finally, HEncode develops a design space analyzer to automatically determine the encoder parameters under constrained conditions to achieve high bandwidth. We implemented and evaluated HEncode on the Xilinx U50. The results show that compared to existing encoders, HEncode gains an increase of approximately 154.5× in the peak throughput and about 5.89 × in hardware efficiency to achieve the encoding throughput of 922.66 Gbps.

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Published
2024-11-18
DOI
https://doi.org/10.1109/iccd63220.2024.00072
Primary Topic
Error Correcting Code Techniques
Type
article
Field-Weighted Citation Impact
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article

HEncode: A Highly Modularized and Efficient FPGA QC-LDPC Encoder using High Level Synthesis

Qiang Cao, Xiaodi Tan, Xiao Lin, Yifan Zhang et al.
Error Correcting Code Techniques
article

HEncode: A Highly Modularized and Efficient FPGA QC-LDPC Encoder using High Level Synthesis

Qiang Cao, Xiaodi Tan, Xiao Lin, Yifan Zhang, Shaohua Wang, Jie Yao, Xiangrui Yang, Jiawei Yang
article en

Abstract

QC-LDPC (Quasi Cyclic Low-Density Parity-Check) codes, as a regular block-based code, have been preva-lently adopted in communication and storage fields to ensure high reliability and bandwidth of data channels. However, existing Field-Programmable Gate Array (FPGA) QC-LDPC encoders designed by RTL experts are generally dedicated to specialized LDPC codes and hardware platforms without flexibility and scalability. Recently, High-Level Synthesis (HLS) was introduced to compile a high-level encoding logic into Register Transfer Level (RTL) implementations, which are low performance and hardware efficiency due to the overlarge HLS-to-RTL design space, especially for large-scale FPGA hardware. This paper proposes a highly modularized and efficient FPGA QC-LDPC encoder, HEncoder, to fully leverage HLS to achieve high bandwidth, flexibility in both code parameters, and hardware efficiency. Firstly, HEncode presents an efficient Encode Block (EB) fully exploiting the FPGA LUT characteristic. Second, HEncode designs a low-level subword-encoding pipeline using multiple EBs and subword-parallel Encode Units (EU). Third, HEncoder designs an encode module with a pipelined data stream consecutively passing Input, EU array, and Output to balance bandwidths of accessing and encoding words. Finally, HEncode develops a design space analyzer to automatically determine the encoder parameters under constrained conditions to achieve high bandwidth. We implemented and evaluated HEncode on the Xilinx U50. The results show that compared to existing encoders, HEncode gains an increase of approximately 154.5× in the peak throughput and about 5.89 × in hardware efficiency to achieve the encoding throughput of 922.66 Gbps.

Fujian Normal University (CN), Wuhan National Laboratory for Optoelectronics (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 71%
Error Correcting Code Techniques
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