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WallMobile has a Deep Neural Network (DNN) accelerator tool. This tool gives the user utility to convert a DNN that was trained via GPUs in Floating Point to a VERILOG code (fix point) that implement this DNN to silicon. This VERILOG agnostic code is then synthesized to a FPGA target meeting the Glue logic limitation that the user choose via the GUI tool.  Also the target of this Verilog code can be ASIC. The tool's big advantage is creating flexible code with user glue logic limitation that implements the network in silicon with minimum quantization error and is suitable for physical edge, thus gaining execution speed with low latency.​

Also, WallMobile specializes in designing ASICs, FPGA for a wide range of applications with focusing on Wireless Modem, Communication, Video and Audio. We provide our customers with high quality, first-time-right designs in a short time frame.