Implications of Historical Trends in the Electrical Efficiency of Computing

The electrical efficiency of computation has doubled roughly every year and a half for more than six decades, a pace of change comparable to that for computer performance and electrical efficiency in the microprocessor era. These efficiency improvements enabled the creation of laptops, smart phones, wireless sensors, and other mobile computing devices, with many more such innovations yet to come. The Web Extra appendix outlines the data and methods used in this study.

[1]  Samuel Williams,et al.  The Landscape of Parallel Computing Research: A View from Berkeley , 2006 .

[2]  Marla Sanchez,et al.  Calendar Year 2007 Program Benefits for ENERGY STAR Labeled Products , 2008 .

[3]  Mark Bohr,et al.  A 30 Year Retrospective on Dennard's MOSFET Scaling Paper , 2007, IEEE Solid-State Circuits Newsletter.

[4]  Robert H. Dennard,et al.  A 30 Year Retrospective on Dennard's MOSFET Scaling Paper , 2007 .

[5]  David E. Liddle The Wider Impact of Moore's Law , 2006, IEEE Solid-State Circuits Newsletter.

[6]  W. Nordhaus Two Centuries of Productivity Growth in Computing , 2007, The Journal of Economic History.

[7]  John L. Hubisz The Pleasure of Finding Things Out: The Best Short Works of Richard P. Feynman, by Carl Feynman and Michelle Feynman , 2000 .

[8]  Gordon E. Moore,et al.  Progress in digital integrated electronics , 1975 .

[9]  Ethan Mollick,et al.  Establishing Moore's Law , 2006, IEEE Annals of the History of Computing.

[10]  G.E. Moore,et al.  Cramming More Components Onto Integrated Circuits , 1998, Proceedings of the IEEE.

[11]  Rakesh Kumar The business of scaling , 2007, IEEE Solid-State Circuits Newsletter.

[12]  S. Lloyd Ultimate physical limits to computation , 1999, Nature.

[13]  Tom R. Halfhill The Mythology of Moore's Law: Why Such a Widely Misunderstood ‘Law’ Is So Captivating to So Many , 2006, IEEE Solid-State Circuits Newsletter.

[14]  R. Feynman,et al.  The Pleasure of Finding Things Out: The Best Short Works of Richard Feynman , 1999 .

[15]  Wu-chun Feng,et al.  Making a Case for Efficient Supercomputing , 2003, ACM Queue.