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Addressing the scaling limitations of future compute systems

How to improve compute and energy efficiency by several orders of magnitude


To enable future applications such as semi-autonomous, contextually aware, AI-enabled digital twins, modern compute systems need orders of magnitude improvements in performance beyond traditional Moore’s Law scaling.

In this article, Arindam Mallik, Boris Leekens, and Eric Mejdrich give their view on how to achieve this ambitious goal.

A system-level approach, a software-to-transistor co-design optimization loop, a concurrent exploration of novel compute capability, and a diverse group of people and competences are vital to accomplishing the gigantic leap in performance per total cost of ownership.