Optimization of FPGA-based LDPC decoder using high-level synthesis

Citations

SCOPUS

5

초록

Low Density Parity Check (LDPC) codes are widely used in various communication and storage systems due to outstanding error correcting capability. In this paper, we present a Field Programmable Gate Array (FPGA) implementation of the LDPC decoder using High-Level Synthesis (HLS). Because HLS can synthesize a hardware implementation from a high-level description, it is very effective in reducing design time, and in exploring various design alternatives. One of the biggest advantages of FPGAs is flexibility, and therefore, HLS for FPGAs is widely adopted as a good hardware synthesis method. In this paper, we describe an LDPC decoder in high level language, and a HLS tool called SDSoC is used to synthesize the decoder. The proposed design is a serial LDPC decoder that requires smaller amount on hardware resource and power consumption than the conventional design. The major drawback of a serial decoder is slow speed. To overcome such drawback, optimization techniques such as array partitioning, loop unrolling, pipelining methods and fixed-point conversion are applied. With the application of these techniques, the decoding speed of the proposed implementation is 8.11 times and 2.79 times faster than that of a non-optimized implementation and that of a software-based LDPC decoder, respectively.

키워드

Error correcting codeField programmable gate arrayHigh level synthesisLow density parity checkSDSoCApplication programsDecodingField programmable gate arrays (FPGA)Forward error correctionHigh level languagesIntegrated circuit designLogic gatesLogic SynthesisError correcting codeField-programmable gate array implementationsHardware implementationsLow density parity checkLow-density parity-check (LDPC) codesOptimization techniquesOptimized implementationSDSoCHigh level synthesis
제목
Optimization of FPGA-based LDPC decoder using high-level synthesis
저자
Choi, Geon Park, Kyeong-BinChung, Ki Seok
DOI
10.1145/3290420.3290441
발행일
2018-11
유형
Conference Paper
저널명
ACM International Conference Proceeding Series
페이지
256 ~ 259