A multi-FPGA architecture for stochastic Restricted Boltzmann Machines

@article{Ly2009AMA,
  title={A multi-FPGA architecture for stochastic Restricted Boltzmann Machines},
  author={Daniel Le Ly and Paul Chow},
  journal={2009 International Conference on Field Programmable Logic and Applications},
  year={2009},
  pages={168-173}
}
Although there are many neural network FPGA architectures, there is no framework for designing large, high-performance neural networks suitable for the real world. In this paper, we present two concepts to support a multi-FPGA architecture for stochastic Restricted Boltzmann Machines (RBM), a popular type of neural network. First, a hardware core, called the kth Stage Piecewise Linear Interpolator, is used to implement a high-precision, pipelined function generator. The interpolator increases… CONTINUE READING

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