A performance evaluation of multi-FPGA architectures for computations of information transfer

Mutual Information (MI) and Transfer Entropy (TE) algorithms compute statistical measurements on the information shared between two dependent random processes. These measurements have focused on pairwise computations of time series in a broad range of fields, such as Econometrics, Neuroscience, Data Mining and Computer Vision. Unlike previous works which mostly focus on 8-bit Computer Vision applications, this work proposes the first generic...