Automatic Mapping of the Sum-Product Network Inference Problem to FPGA-Based Accelerators

ICCD, pp. 350-357, 2018.

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Abstract:

In recent years, FPGAs have been successfully employed for the implementation of efficient, application-specific accelerators for a wide range of machine learning tasks. In this work, we consider probabilistic models, namely, (Mixed) Sum-Product Networks (SPN), a deep architecture that can provide tractable inference for multivariate dist...More

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