A way to automate and find solutions that efficiently handle algorithmic design content inherent in AI and DSP.
Growth in demand for artificial intelligence (AI) and digital signal processing (DSP) applications, coupled with advances in semiconductor process technology, drives increasingly denser SoCs. These complex SoCs further challenge the design team’s ability to meet performance, power, and area (PPA) goals within tight time-to-market windows. We need automated and targeted solutions that efficiently handle algorithmic design content inherent in AI and DSP to keep up. Such solutions must also be well correlated with results obtained from physical design to minimize physical design iterations. Designers rely on several mature production-proven tools, from algorithm development to physical implementation. Any improvements to the design flow should maximally leverage existing tools where possible and deliver focused automation to address the challenges of iteration and poor correlation.
By Jeff Roane, Director of Product Management, and Vinod Kumar Khera, PhD
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