Performance Trade-Offs in Multi-Processor Approximate Message Passing

10 Apr 2016Junan ZhuAhmad BeiramiDror Baron

We consider large-scale linear inverse problems in Bayesian settings. Our general approach follows a recent line of work that applies the approximate message passing (AMP) framework in multi-processor (MP) computational systems by storing and processing a subset of rows of the measurement matrix along with corresponding measurements at each MP node... (read more)

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