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Distinguished Speaker: The Economics of Computing at the End of Moore’s Law
Post Moore’s Law Computing
DescriptionThe success of Moore’s Law came not just from enormous technical improvements, but from a virtuous economic cycle that funded innovation and brought users onto a common platform. This paper argues that technological and economic forces are now pushing computing in the opposite direction, making computer processors more specialized and semiconductor manufacturers less able to amortize costs. This process has already begun, driven by the slowdown in Moore’s Law and the success of parallelizable algorithms such as Deep Learning. This trend towards specialization threatens to fragment computing into 'fast lane' applications that get powerful customized chips and 'slow lane' applications that get stuck using general purpose chips whose progress fades.
Research Scientist / Visiting Professor