The Role of the Embedded Memories in the Implementation of Artificial Neural Networks
نویسندگان
چکیده
The paper describes the implementation of a systolic array for a multilayer perceptron on different FPGA architectures with a hardware-friendly learning algorithm: Pipelined On-line Backpropagation. By exploiting the embedded memories of certain families alongside the projection used in the systolic architecture, we can implement a very large interconnection layers. These physics and architectural features-together with the combination of FPGA reconfiguration properties with a design flow based in generic VHDL, permit us to get a flexiblecreate an easy, flexible and fast method of designing a complete ANN on a single FPGA. The result offers a high degree of parallelism and fast performance.
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