Energy efficient parallel neuromorphic architectures with approximate arithmetic on FPGA
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.09.071
Abstract: In this paper, we present the parallel neuromorphic processor architectures for spiking neural networks on FPGA. The proposed architectures address several critical issues pertaining to efficient parallelization of the update of membrane potentials, on-chip storage… read more here.
Keywords: energy efficient; parallel neuromorphic; energy; approximate arithmetic ... See more keywords
VADER: Voltage-Driven Netlist Pruning for Cross-Layer Approximate Arithmetic Circuits
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2019.2900160
Abstract: Leveraging the inherent error resilience of a large number of application domains, approximate computing is established as an efficient design alternative to improve their energy profile. In this brief, we design energy optimal cross-layer approximate… read more here.
Keywords: voltage driven; cross layer; layer approximate; voltage ... See more keywords
Accurate Reliability Boundary Evaluation of Approximate Arithmetic Circuit
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2022.3193897
Abstract: Approximate arithmetic circuit (AAC) has emerged as a promising high-performance and energy-efficient circuit paradigm, which can be used in many applications with inherent error tolerance. To guarantee the usability of AACs and the availability of… read more here.
Keywords: evaluation; approximate arithmetic; circuit; reliability boundary ... See more keywords