Nvidia’s chief scientist recently talked about how his R&D teams are using GPUs to accelerate and improve the design of new GPUs. Four complex and traditionally slow processes have already been tuned by leveraging machine learning (ML) and artificial intelligence (AI) techniques. In one example, using AI/ML accelerated inference can speed a common iterative GPU design task from three hours to three seconds.
Bill Dally is chief scientist and SVP of research at Nvidia. HPC Wire has put together a condensed version of a talk Dally shared at the recent GTC conference, in which he discusses the development and use of AI tools to improve and speed up GPU design.
In his talk, Dally outlined four significant areas of GPU design where AI/ML can be leveraged to great effect: mapping…
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APC (Digital) - 1 Issue, June 2022