Google AI and UC Berkely Researchers Introduce A Deep Learning Approach Called ‘PRIME’ That Generates AI Chip Architectures By Drawing From Existing Blueprints And Performance Figures

The creation of application-specific hardware accelerators has resulted from the advent of ML-based approaches in solving diverse challenges in vision and language. Standard approaches for creating accelerators tailored to a given application, while promising, necessitate manual effort to create a sufficiently accurate hardware simulator, followed by many time-intensive simulations to optimize the intended purpose. Under varied design restrictions, this entails finding the proper balance between total computing and memory resources and communication bandwidth. On the other hand, designing accelerators that …

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