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1100 Barrel Paintball Gun

September 1, 2008



1100_paintballs 1100 Barrel Paintball GunIf you ever wanted to paint pictures with a paintball gun then you probably realise that it would take a while painting 1 pixel at a time. Mythbusters decided to create for NVIDIA a paintball gun with 1100 barrels so that a full painting could be made in just 1 shot. The results… Mona Lisa was drawn in just 80 milliseconds. Check out the video after the jump.

The Mythbusters created this 1100 barrel gun to explain the difference between a CPU and a GPU. When a CPU is used to render graphics it is done one step at a time where as when a GPU is used it can handle many tasks at a time. Although it’s a completely over the top way of showing a point you have to love watching all 1100 barrels shooting out a picture at the same time.

Via: Geeky-Gadgets


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Comments

5 Responses to “1100 Barrel Paintball Gun”

  1. Chris at LG on September 2nd, 2008 5:23 am

    When I first watched the video I was amazed at how instant it was - and the quality of the picture. How those paintballs all came out exactly straight without colliding with each other or messing each other up I don’t know.

  2. Tuesday LinkCrave: 09.02.2008 | GearCrave | The Mens Buying and Lifestyle Guide on September 2nd, 2008 6:01 am

    [...] Can you paint the Mona Lisa in just 80 milliseconds?  MythBusters can. [GadgetVenue] [...]

  3. Matthew on September 2nd, 2008 6:04 am

    It is surprising Chris. I wonder if it’s to do with having the long barrels and it being just a few feet to the canvas. It would be good to see if it could do the same at 25M away.

  4. Andy on September 3rd, 2008 4:20 pm

    That is great! Nothing says ‘nerd’ more than spending countless hours building something that will last for a fraction of second. Awesome!

  5. CPU vs. GPU | Reality Wired on September 18th, 2008 9:48 am

    [...] Mythbusters created this 1100 barrel gun to explain the difference between a CPU and a GPU. When a CPU is used to render graphics it is done one step at a time where as when a GPU is used it [...]

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