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VizWorld & InsideHPC covered this yesterday ( [www.vizworld.com] ). I just don't get it.
The 80-core build looks neat yea, but it's 10 separate computers in 1 box.. So you have to have MPI applications, and a MAXIMUM of 96G visible by 1 process.
And with Atoms?? huh?
And add a GPU and it suddenly plummets to 2 processor/8 core MAX?
For the computing physicist, this is awesome. MATLAB's multithreading doesn't suck, and I'd been thinking about something like this.
There's also nVidia's CUDA support to offload processing to the gfx card, but this requires some code alteration and particular optimization. Huge (and cheap) rewards for the effort. Good white paper here: [developer.download.nvidia.com]
This seems pricier, but nicely more robust and easy to apply for any math software with in-built multithreading.
@Fractal the Meek: Ease of programming? What? GPGPU are just shaders that ports back to the main memory. Turn that port back into the rendering pipeline, back to gaming graphics.
@ripfire: Yeah, GPUs are GPUs, but I've personally only recently seen a push toward GPUs with GPGPU libraries that make general computation on GPUs a hell of a lot easier for idiots like me who otherwise wouldn't know how to address the card.
I am drooling over this, but have no reason other than just LUST for wanting it. I am limping along on a spare box at home with only 128MB. It hardly even opens Giz. I am (im)patiently awaiting Win7.
@Curves: My gosh, woman. You have generated mad amounts of sympathy. If I but had a way to share any of the spare parts I've got laying around at home (and if they would work for your machine), I'd gladly share them.
@Peregrinvs: There is no more room to add memory or I woudl have, and its just a temporary situation. I do find it amusing that I could get lots of free "parts" from my fellow commentards. No wonder I love you guys so much.
@Curves: I see what you did there. ;-) Come on, no need to make this into something it's not. All this is, is some dudes, freaking out because there's a girl on the internet, flirting with her in the only way they know how.
@OCEntertainment: They arent really freaking out because there is a woman on the internet. They are freaking out over the fact that there is a women on the internet who is talking to THEM.
So Silicone Graphics is still around. What OS does it run? IRIX? It's based on Intel so I assume it can run Linux also. I'd get one of these just to play with if I was rich and it ran Linux.
09/22/09
So who came first?
09/22/09
@G.O.B.: Come on!: SGI's new logo breaks my heart.
[www.underconsideration.com]
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There goes the joke!
09/22/09
The 80-core build looks neat yea, but it's 10 separate computers in 1 box.. So you have to have MPI applications, and a MAXIMUM of 96G visible by 1 process.
And with Atoms?? huh?
And add a GPU and it suddenly plummets to 2 processor/8 core MAX?
Sorry.I'll buy the same thing from BOXX, cheaper.
09/22/09
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beats the hell out of my old sgi onyx 3200 i have sitting in my living room
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There's also nVidia's CUDA support to offload processing to the gfx card, but this requires some code alteration and particular optimization. Huge (and cheap) rewards for the effort. Good white paper here: [developer.download.nvidia.com]
This seems pricier, but nicely more robust and easy to apply for any math software with in-built multithreading.
09/22/09
Though NVIDIA is planning on going the GPGPU route instead of gaming GPUs.
09/22/09
What's the diff? They all do the same calculations.
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Nothing special.
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I've got tons of SDRAM.......err.....
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Which is why I've now put my computer under lock and key and eaten the key.
Hopefully nothing goes wrong with it ever again.
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I need to stop reading bash.org in my spare time. ;-)
09/22/09
or hell double the PS3's and get 128 cores for $4800!
[www.ps3cluster.umassd.edu]
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I've got ten kilos of C4 strapped in my chest. If ANYONE, mentions that C word, this shit blows up. Do you hear me?
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