Embedded neural networks: Cadence’s latest DSP target

The new IP extends the Tensilica product portfolio further into the fast-growing vision/deep learning applications areas. It quadruples multiply-accumulate (MAC) performance compared to the previous generation Vision P5 DSP, targeting convolutional neural network (CNN) applications which are dominated by available MAC performance. Compared to commercially available GPUs, the Tensilica Vision P6 DSP can achieve twice the frame rate at much lower power consumption on a typical neural network implementation, claims the company. For a wide range of other key vision functions, such as convolution, FIR filters and matrix multiplication, the Tensilica Vision P6 DSP increases performance by up to 4X by utilizing its improved 8-bit and 16-bit arithmetic. In addition, the new IP implements on-the-fly data compression to sharply reduce memory footprint and bandwidth requirements for demanding “fully connected” neural…

Link to Full Article: Embedded neural networks: Cadence’s latest DSP target

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