Computer performance by orders of magnitude

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This list compares various amounts of computing power in instructions per second organized by order of magnitude in FLOPS.

Scientific E notation index: 2 | 3 | 6 | 9 | 12 | 15 | 18 | 21 | 24

Hecto-scale computing (102)[edit]

  • 2.2×102 Upper end of serialized human through put. This is roughly expressed by the lower limit of accurate event placement on small scales of time (The swing of a conductors arm, the reaction time to lights on a drag strip etc.)[1]
  • 2×102 IBM 602 1946 computer.

Kilo-scale computing (103)[edit]

Mega-scale computing (106)[edit]

Giga-scale computing (109)[edit]

Tera-scale computing (1012)[edit]

Petascale computing (1015)[edit]

Main article: Petascale computing
  • 1.026×1015 IBM Roadrunner 2009 Supercomputer
  • 8.1×1015 Fastest computer system as of 2012 is the Folding@home distributed computing system
  • 17.17×1015 IBM Sequoia's Linpack performance, June 2013[4]
  • 33.86×1015 Tianhe-2's Linpack performance, June 2013[4]
  • 36.8×1015 Estimated computational power required to simulate a human brain in real time.[5]
  • 93.01×1015 Sunway TaihuLight's Linpack performance, June 2016[6]

Exascale computing (1018)[edit]

Main article: Exascale computing
  • 1×1018 It is estimated that the need for exascale computing will become pressing around 2018[7]
  • 1.5×1018 Bitcoin network Hash Rate reached 1.5 Exahashes per seconds in mid 2016[8]

Zetta-scale computing (1021)[edit]

  • 1×1021 Accurate global weather estimation on the scale of approximately 2 weeks.[9] Assuming Moore's law remains constant, such systems may be feasible around 2030.

A zettascale computer system could generate more single floating point data in one second than was stored by any digital means on Earth in first quarter 2011.

Yotta-scale computing (1024)[edit]

  • 257.6×1024 Estimated computational power required to simulate 7 billion brains in real time.

See also[edit]

References[edit]

  1. ^ "How many frames per second can the human eye see?". 2004-05-19. Retrieved 2013-02-19. 
  2. ^ Overclock3D - Sandra CPU
  3. ^ Tony Pearson, IBM Watson - How to build your own "Watson Jr." in your basement, Inside System Storage
  4. ^ a b http://top500.org/list/2013/06/
  5. ^ http://hplusmagazine.com /2009/04/07/brain-chip/
  6. ^ http://top500.org/list/2016/06/ Top500 list, june 2016
  7. ^ "'Exaflop' Supercomputer Planning Begins". 2008-02-02. Retrieved 2010-01-04. Through the IAA, scientists plan to conduct the basic research required to create a computer capable of performing a million trillion calculations per second, otherwise known as an exaflop. 
  8. ^ Bitcoin hash rate chart
  9. ^ DeBenedictis, Erik P. (2005). "Reversible logic for supercomputing". Proceedings of the 2nd conference on Computing frontiers. pp. 391–402. ISBN 1-59593-019-1. 
  10. ^ Moore, Gordon E. (1965). "Cramming more components onto integrated circuits" (PDF). Electronics Magazine. p. 4. Retrieved 2006-11-11. 

External links[edit]