Nvidia Corp, the world's leading designer of computer chips used in AI, has shown new research that explains how artificial intelligence tools can be used to improve chip design.
In the paper, called 'AutoDMP: Automated DREAMPlace-based Macro Placement', the Nvidia research team proposed an AI-based methodology to optimise the placement of transistors on silicon chips, thereby improving their cost, speed and power consumption.
Billions of tiny switches called transistors are placed on a piece of silicon to create what we know as silicon chips, and so the placement of these switches has a great impact on the capabilities of the chips.
At the moment, chip design engineers use complex design software from firms like Synopsys Inc and Cadence Design Systems Inc to optimise the placement of those transistors. However, according to Nvidia, AI tools could provide an additional source of insight during these design processes.
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