Low-power VLSI decoder architectures for LDPC codes
Proceedings of the 2002 international symposium on Low power electronics and design
Demultiplexer design for multi-edge type LDPC coded modulation
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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Abstract: In this paper, we present a domain-programmable (code-independent) parallel architecture for efficiently implementing iterative probabilistic decoding of LDPC codes. The architecture is based on distributed computing and message passing. The exploited parallelism was found to be communication limited. To increase the utilization of the computational resources we separate the routing process and state management functionalities performed by physical nodes from computation functionalities performed by function units that can be shared by multiple physical nodes. Simulation results show that the proposed architecture leads to improvements in FU utilization by 251%, 116%, and 209% compared to a hypothetical fully parallel custom implementation, a fully sequential implementation, and a proprietary FPGA custom implementation, respectively, that all use the same core FU design. Compared to an implementation on a shared-memory general-purpose parallel machine, the proposed architecture exhibits 75.6% improvement in scalability. In this paper, we also introduce a new low cost store-and-forward routing algorithm for deadlock avoidance in torus networks.