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(Geek.com)   Fancy 90 Gigaflops in a package the size of a credit card that runs Linux for $99?   (geek.com) divider line 107
    More: Cool, Raspberry Pi, linux, microSD, parallel processing  
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8166 clicks; posted to Geek » on 01 Dec 2013 at 10:53 AM (37 weeks ago)   |  Favorite    |   share:  Share on Twitter share via Email Share on Facebook   more»



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2013-12-02 08:03:58 AM

doglover: What would I do with that much computation?


This could be a game changer for big data, if it can hold more than 1G RAM.
 
2013-12-02 09:18:09 AM

BigLuca: I'd run Crysis on medium settings.


Funny, i just got my new Alienware yesterday.  Crysis 2 was my "test" to see how well it runs.

IT'S FREAKING AWESOME!   32 gig of ram, dual video cards. Beast of a laptop but I didn't buy it so I could lug it around the world.  Just from room to room in my house.

/i actually got it a week ago but yesterday was the first day I had time to test it out since i was on holiday.
 
2013-12-02 09:36:16 AM

jjorsett: If you need to ask, then probably nothing. Personally, I could make use of this for some image processing algorithms I have than can barely keep up with a 30 hz frame rate at standard definition resolution. This could handle them at high def resolutions without breaking a sweat.


You'd probably slam into some bottleneck somewhere else. Like I/O. you get 2.4 GB/s between the main processor and the FPGA that attaches to epiphany. The link between the FPGA and epiphany itself, is only 1.4GB/S

You're also working with DDR2 memory, and all your video data is either going to have to go over the gigabit ethernet link, a USB 2.0 connection, or an SD card.

Oh, and Epiphany is programmed in C/C#.
 
2013-12-02 12:42:05 PM

beer4breakfast: The Pentium 4 initially had a 20 stage pipeline compared to the PowerPC's 970 11/16.


"Number of pipeline stages" is not a particularly illuminative metric, especially when comparing RISC and CISC designs.
 
2013-12-02 02:19:33 PM

fluffy2097: jjorsett: If you need to ask, then probably nothing. Personally, I could make use of this for some image processing algorithms I have than can barely keep up with a 30 hz frame rate at standard definition resolution. This could handle them at high def resolutions without breaking a sweat.

You'd probably slam into some bottleneck somewhere else. Like I/O. you get 2.4 GB/s between the main processor and the FPGA that attaches to epiphany. The link between the FPGA and epiphany itself, is only 1.4GB/S

You're also working with DDR2 memory, and all your video data is either going to have to go over the gigabit ethernet link, a USB 2.0 connection, or an SD card.

Oh, and Epiphany is programmed in C/C#.


And instead of having to attach a PC in a NEMA enclosure to your camera for that processing you can now do it in the same case as the camera is in and save upwards of $12,000 on your face recognition security camera.  Who says it has to run linux?
 
2013-12-02 02:20:19 PM

Demetrius: Slaxl: doglover: What would I do with that much computation?

Surf porn Compute faster.

FTFY


i2.photobucket.com
 
2013-12-02 07:03:27 PM
Why would I want to simulate anything? I'm just gonna sit here with my Oculus Rift and my omnidirectional treadmill waiting for the killer app, why would I need to simulate fluids or physics or light reflections? I simply cannot imagine why a home computer would need the capability to model realistic environments for any purpose. Mario's world isn't realistic, why would he need such a chip? It's not like anyone has to do vertex calculations or simulate collisions between objects on a HOME COMPUTER anyway. That stuff's all done at the University level now.
 
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