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The Evolution of Neural Processing for Embedded Applications
Gordon Cooper
Synopsys |
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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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VIP and verification solutions for CXL, PCIe, HBM3 more >>
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Frac-N, LC clock multiplier PLL with frequency spreading and ultra-low jitter. more >> |
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Registration Now Open for DAC
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Join designers, researchers, tool developers & vendors for superb training, education, exhibits & networking at the event for the design & design automation of electronic chips to systems. DAC topics include IP, AI, EDA, Security, Cloud & Embedded Systems.
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Customizable SoC IP
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ARM Approved Design Partner
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Leading edge ADC/DAC IPs
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Edge AI/ML accelerator
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IMG RTXM for real-time applications: the first RISC-V Catapult CPU from Imagination. A highly scalable, 32-bit design, it’s ideal as a helper core for complex SoCs and for markets such as 5G modems. 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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