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Thread: Parallella 'supercomputers'

  1. #1

    Lightbulb Parallella 'supercomputers'

    Have people seen the Parallella architecture from Adapteva, currently kickstarting at http://www.kickstarter.com/projects/...r-for-everyone

    They have an scalable multicore architecture, and are aiming to make 16 and 64 core chips, with very low power consumption (~2W for 16 core), and reasonable CPU power. There long term goal is 1024 and 4096 core models. Its not a SIMD architecture (like a GPU, or SSE, AVX, Neon on a CPU), so it can achieve a higher computational efficiency. The patches are in GCC since 4.7, and the dev boards run ubuntu on the host dual core ARM A9

    There are spec sheets and manuals
    http://www.kickstarter.com/projects/...bouTheEpipProc
    and some demos
    http://www.kickstarter.com/projects/...e/posts/324625

    The 64core dev board might be quite competitive with a desktop for image and video processing if your app has openCL or openMP support (GEGL/GIMP, blender, etc).

    The 16core version is cheaper than a pandaboard, and has a similar dualcore ARM A9 as the host (so if you were thinking of buying a pandaboard, you may as well get this, and get a free 16core coprocessor).

    A 1024 core version would be like a xeon phi. it could also make a very nice opensource graphics card via LLVMpipe.

  2. #2
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    In their marketing bullshit, they claim that their 99$ board, in 5W, corresponds to a normal 45GHz cpu.

    Yeah right. Until there's products on the shelf, this is a scam.

  3. #3

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    Quote Originally Posted by curaga View Post
    In their marketing bullshit, they claim that their 99$ board, in 5W, corresponds to a normal 45GHz cpu.
    Yeah right. Until there's products on the shelf, this is a scam.
    the 45GHz figure is just cores*clock. i think they are trying to balance 'boring' technical stuff with exciting stuff to get people interested.

    they already have a small number of 16 core boards made at 65nm. that's where their power usage, GFLOPS and computational efficiency figures come from. http://www.adapteva.com/wp-content/u...apteva_mpr.pdf

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