June 21, 2022
The Evolution of Neural Processing for Embedded Applications

Gordon Cooper
Synopsys
It's been ten years since AlexNet, a deep learning convolutional neural network (CNN) model running on GPUs, displaced more traditional vision processing algorithms to win the ImageNet Large Scale Visual Recognition Competition (ILSVRC). AlexNet, and its successors, provided significant improvements in object classification accuracy at the cost of intense computational complexity and large datasets. In other words, it took a lot of data movement and a lot of multiplies and accumulations to achieve this record-breaking accuracy. In the academic community, the rush was on to improve neural network optimization techniques to increase accuracy and performance while minimize power and area efficiency for practical applications. more >>
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Silicon Creations provides world-class silicon intellectual property (IP) for precision and general-purpose timing PLLs, SerDes and high-speed differential I/Os. The company’s IP is in production from 5 to 180 nanometer process technologies. With a complete commitment to customer success, its IP has an excellent record of first silicon to mass production in customer designs. more >>
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