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Orders of magnitude (computing)

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Title: Orders of magnitude (computing)  
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Subject: Instructions per second, FLOPS
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Orders of magnitude (computing)

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

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


Hecto scale computing

  • 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


Mega scale computing


Giga scale computing


Tera scale computing


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
  • 20×1015 IBM Sequoia Circa 2011
  • 36.8×1015 Estimated computational power required to simulate a human brain in real time.[4]


Exascale computing

  • 1×1018 It is estimated that the need for exascale computing will become pressing around 2018[5]


Zetta scale computing

  • 1×1021 Accurate global weather estimation on the scale of approximately 2 weeks.[6] 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

  • 1×1024


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