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Convolutional Accelerator for Convolutional Neural Networks (CNN)
NeuralCAx16 combines 256 multipliers with crafted data path design. It is flexible for any size of filter and channel configurations. Using the latest technology, NeuralCAx16 can run over 1 GHz and outperform many GPU/CPU CNN solutions.
A typical application of NeuralCAx16 is presented in Figure 1. The host processor can be a RISC engine, a microprocessor, or any in-house developed ASIC core. Its functions are: handling the memory data, performing other layers of operations , and interfacing to the real word.
A typical application of NeuralCAx16 is presented in Figure 1. The host processor can be a RISC engine, a microprocessor, or any in-house developed ASIC core. Its functions are: handling the memory data, performing other layers of operations , and interfacing to the real word.
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Block Diagram of the Convolutional Accelerator for Convolutional Neural Networks (CNN)
