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October 5, 2012

Parallella: A Supercomputer For Everyone

Filed under: Parallelism,Supercomputing — Patrick Durusau @ 5:40 am

Parallella: A Supercomputer For Everyone

For a $99 pledge you help make the Parallella computer a reality (and get one when produced).

  • Dual-core ARM A9 CPU
  • Epiphany Multicore Accelerator (16 or 64 cores)
  • 1GB RAM
  • MicroSD Card
  • USB 2.0 (two)
  • Two general purpose expansion connectors
  • Ethernet 10/100/1000
  • HDMI connection
  • Ships with Ubuntu OS
  • Ships with free open source Epiphany development tools that include C compiler, multicore debugger, Eclipse IDE, OpenCL SDK/compiler, and run time libraries.
  • Dimensions are 3.4” x 2.1”

Once completed, the Parallella computer should deliver up to 45 GHz of equivalent CPU performance on a board the size of a credit card while consuming only 5 Watts under typical work loads. Counting GHz, this is more horsepower than a high end server costing thousands of dollars and consuming 400W.

$99 to take a flyer on changing the fabric of supercomputing?

I’ll take that chance. How about you?

PS: Higher pledge amounts carry extra benefits, such as projected delivery of a beta version by December of 2012. ($5,000) Got a hard core geek on your holiday shopping list?

PPS: I first saw this at: Adapteva Launches Crowd-Source Funding for Its Floating Point Accelerator by Michael Feldman (HPC).

2 Comments

  1. So Patrick, did you go for the $5,000 level? 😉

    Seriously, it looks like the $199 level gets you the most for your money. 66 cores! Or, at the minimum, 18 cores.

    I gotta get me one of these! Much better than the PiRaspberry, and that is a wonderful toy!

    Wanna learn parallel programming with me?

    Comment by CapnKirk — October 5, 2012 @ 7:34 am

  2. I wish the $5,000 level!

    True about the cost/benefit but I am also interested in encouraging the development of a parallel habit of thinking. Not so much this chip, except for the opportunity it represents for broader parallel experience.

    +1 to learning parallel programming with you!

    Comment by Patrick Durusau — October 9, 2012 @ 6:16 pm

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