Energy of Computing As A Key Design Aspect (SLAC/Stanford, MIT)


A technical paper titled "Trends in Energy Estimates for Computing in AI/Machine Learning Accelerators, Supercomputers, and Compute-Intensive Applications" was published by researchers at SLAC/Stanford University and MIT. Abstract: "We examine the computational energy requirements of different systems driven by the geometrical scaling law, and increasing use of Artificial Intelligence or Ma... » read more