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The computing trend that will
change everything	

Jonathan Koomey	

Consulting Professor, Stanford University	

jgkoomey@stanford.edu	

http://www.koomey.com	

March 15, 2012
Computing efficiency	

	

ubling about every year and a half since the 1940s	

	

100x improvement every decade	

	

abled the existence of laptops and smart phones
Images courtesy of Josh Smith, U
mplications: More and
tter mobile computing
sensors, controls	

Power from batteries	

light	

heat	

motion	

or even stray radio and TV signals
Deeper implications	

Customized data collection (nanodata, not big data)	

Ever more precise control of processes	

Real-time analysis	

Enabling “the internet of things”	

	

Bottom line: better matching of energy services
demanded with those supplied
hese trends still have a
long way to run	

ssst: Researchers at Purdue and the University of
ew South Wales have just created a reliable one
atom transistor…
Further reading	

Koomey, Jonathan G., Stephen Berard, Marla Sanchez, and Henry
Wong. 2011. "Implications of Historical Trends in the Electrical
Efficiency of Computing."  IEEE Annals of the History of Computing.  vol.
3 3 , n o . 3 . J u l y - S e p t e m b e r . p p . 4 6 - 5 4 . [ h t t p : / /
doi.ieeecomputersociety.org/10.1109/MAHC.2010.28]	

	

Greene, Kate. 2011. "A New and Improved Moore's Law." In Technology
Review. September 12. [http://www.technologyreview.com/computing/
38548/?p1=A1]	

	

Eisenberg, Anne. 2010. "Bye-Bye Batteries: Radio Waves as a Low-
Power Source." The New York Times.  New York, NY.  July 18. p. BU3.
[http://www.nytimes.com/2010/07/18/business/18novel.html]

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The computing trend that will change everything

  • 1. The computing trend that will change everything Jonathan Koomey Consulting Professor, Stanford University jgkoomey@stanford.edu http://www.koomey.com March 15, 2012
  • 2. Computing efficiency ubling about every year and a half since the 1940s 100x improvement every decade abled the existence of laptops and smart phones
  • 3. Images courtesy of Josh Smith, U mplications: More and tter mobile computing sensors, controls Power from batteries light heat motion or even stray radio and TV signals
  • 4. Deeper implications Customized data collection (nanodata, not big data) Ever more precise control of processes Real-time analysis Enabling “the internet of things” Bottom line: better matching of energy services demanded with those supplied
  • 5. hese trends still have a long way to run ssst: Researchers at Purdue and the University of ew South Wales have just created a reliable one atom transistor…
  • 6. Further reading Koomey, Jonathan G., Stephen Berard, Marla Sanchez, and Henry Wong. 2011. "Implications of Historical Trends in the Electrical Efficiency of Computing."  IEEE Annals of the History of Computing.  vol. 3 3 , n o . 3 . J u l y - S e p t e m b e r . p p . 4 6 - 5 4 . [ h t t p : / / doi.ieeecomputersociety.org/10.1109/MAHC.2010.28] Greene, Kate. 2011. "A New and Improved Moore's Law." In Technology Review. September 12. [http://www.technologyreview.com/computing/ 38548/?p1=A1] Eisenberg, Anne. 2010. "Bye-Bye Batteries: Radio Waves as a Low- Power Source." The New York Times.  New York, NY.  July 18. p. BU3. [http://www.nytimes.com/2010/07/18/business/18novel.html]