The chips are down for Moore’s law

By M. Waldrop. Nature, 2016

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How researchers see this paper

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Faster permutation inference in brain imaging (2016, methodology): “At a time in which Moore's law (Moore, 1965) approaches physical limits (Waldrop, 2016), alternative methods to expedite computation are expected to gain prominence.”
Data centres in future European energy systems—energy efficiency, integration and policy (2019, background): “However, it has been reported that the increase in chip performance has slowed down since 2012, and continued improvements have recently been questioned as we are approaching several physical and engineering limits associated with silicon-based chips (Waldrop 2016).”
UCSF ChimeraX: Structure visualization for researchers, educators, and developers (2020, background): “17 Previously, computing performance improved through faster individual processors.”
Analogue signal and image processing with large memristor crossbars (2017, background): “mprovements in the energy consumption and throughput of digital processors are reaching a plateau, as complementary metal-oxide-semiconductor transistor (CMOS) technology approaches the end of process scaling 1,2 .”
Beyond skyrmions: Review and perspectives of alternative magnetic quasiparticles (2020, background): “While current electronic solutions struggle to keep up with Moore’s law [1], new spintronic proposals have been suggested and may become relevant in the near future [2].”