The end of Dennard scaling and Moore’s law are not problems that must be solved but facts that, if accepted, offer breathtaking opportunities.
In his @Scale Conference keynote, David Patterson, Distinguished Engineer at Google and Professor at UC Berkeley, discusses how high-level, domain-specific languages and architectures aided by open source ecosystems and agilely developed chips will accelerate progress in machine learning. He envisions a new golden age for computer architecture in the next decade.