Reducing the Dissipated Energy in Multi-standard Turbo and LDPC Decoders

Parallel Low-Density Parity-Check and turbo code decoding consists of iterative processes that rely on the exchange of messages among multiple processing elements (PEs). They are characterized by complex communication patterns that require area expensive interconnect and memory management. Channel decoders based on Networks-on-Chip (NoCs) have been proposed in the literature, showing unmatched degrees of flexibility, but yielding high area occupation and power consumption. While general and applicationspecific power reduction techniques are available to save energy, the gap with respect to dedicated decoders is still large. This paper proposes techniques that reduce and optimize the traffic on the network for NoC-based channel decoders, and can be applied to any NoC architecture. The proposed techniques exploit the probabilistic nature and the processing order of the exchanged messages in Carlo Condo, Guido Masera Politecnico di Torino Corso Duca degli Abruzzi 24 10129 Torino, Italy E-mail: ¡name.surname¿@polito.it Amer Baghdadi Telecom Bretagne Technopole Brest-Iroise 29238 Brest Cedex 3, France E-mail: ¡name.surname¿@telecom-bretagne.eu 2 Carlo Condo et al. the iterative decoding and define novel importance and urgency metrics. Given a target throughput, these techniques allow to consistently reduce and optimize the NoC traffic with minor or no bit error rate (BER) degradation with respect to a decoder with no traffic optimization. An already available NoC based decoder enhanced with the proposed traffic shaping techniques leads to 13.1% area overhead and 15.0% power and energy reduction, while 40.2% of power is saved on the NoC alone.