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1000core Processor isnt as impressive as you think - Page 3

post #21 of 67
Talking about a system with 1k cores or a CPU? Look at PRC's super computer then: http://www.dailymail.co.uk/sciencetech/article-1324557/China-builds-worlds-fastest-supercomputer.html
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post #22 of 67
Thread Starter 
Quote:
Originally Posted by Hokrollo;12506206 
Talking about a system with 1k cores or a CPU? Look at PRC's super computer then: http://www.dailymail.co.uk/sciencetech/article-1324557/China-builds-worlds-fastest-supercomputer.html

revise the bolded letters..

I mean the CPU with 1 k cores

Not the computer with 1k cpu's
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post #23 of 67
Quote:
Originally Posted by StuffStuff1;12508895 
revise the bolded letters..

I mean the CPU with 1 k cores

Not the computer with 1k cpu's

k, you just said that your PC had 547 cores. But your CPU probably don't have more than 6.
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post #24 of 67
It would be easier to have 100 10-core rigs working in parallel then to have a single 1000-core. I can't even imagine the die size, even 14nm would be pushing it in terms of stuffing that many on a single slab of silicon.
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post #25 of 67
I didn't look into the 1000-core chip news at all, but wasn't it essentially a form of an FPGA? Or am I remembering incorrectly?
post #26 of 67
I fail to see why 1k core cpu is that great of thing.
Why not a grahpene cpu with 5.5 ghz and better instruction sets and 8 cores.
having 1k core is going over board like when intel thought they could make 5ghz cpu in the P4 days then every one learned that there is a speed wall. I'm sure something similar can be learned with cores.

I do see how it's a great research piece something like this can help them achieve a grahpene cpu with 5.5 ghz and better instruction sets and 8 cores.
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post #27 of 67
Quote:
Originally Posted by StuffStuff1;12487688 
I cant but programmers are expected to.
....you don't know how to program so why don't you go learn first before making comments on topics you have no idea about? Seriously, do you have ANY idea what multi-threading entails? Do you have any idea about multi-threading on clusters or independent devices?

Quote:
Originally Posted by StuffStuff1;12487688 
Re-read. I never said Nvidia or ATi make x86 chips. I said thats only difference (Essentially)
Instruction set basically defines the chip. The only difference (as you so believe) is the fundamental and biggest difference between any chip. Everything starts at the instruction set.
Quote:
Originally Posted by StuffStuff1;12487688 
The production cost would be enormance. Think about howmuch it cost one chip. I can imagine that the die of the 1000 core chp would be rather large and complex.
Which means:
Less chip per platter
Higher chance of a dead chip

I think these two factors will greatly affect the chips cost
I made a bit assumption here based on the fact that multi core chips like the 480 get really really hot. I would also expect a chip that run 20x faster then any other chip to run considerably hotter.


A complex chip probably has a higher chance of not working.
....but think about the cost savings for servers. A cabinet of servers could be reduced to a single 2U. Do you have any idea about servers or enterprise costs? Business care more about end results than price (within reason). They are willing to drop $100-500K on a server if it gets them that much more performance.



For example, here is the IBM POWER7 chip... it's huge. A server running 4x octocore POWER7 costs around $200K.
6_ibm-power7-cpu-mit-mensch_reference.jpg
Quote:
Originally Posted by StuffStuff1;12487688 
doh.gif your right i forgot GPU chips dont use transistors and that the core function of a chip is not to do math
That's an extremely simplistic view.
Quote:
Originally Posted by jellis142;12517660 
It would be easier to have 100 10-core rigs working in parallel then to have a single 1000-core. I can't even imagine the die size, even 14nm would be pushing it in terms of stuffing that many on a single slab of silicon.
Not always. If the workload is highly parallelable but not completely independent than a single 1000-core would probably be better. The issue is the latency between inter-computer communication is about 1ms while inter-core communication is under 10ns.
Edited by DuckieHo - 2/24/11 at 11:42pm
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post #28 of 67
Quote:
Originally Posted by DuckieHo;12518004 
The issue is the latency between inter-computer communication is about 1ms while inter-core communication is under 10ns.

This is the reason why simulations at the small cluster at my work run as fast on a single node as opposed to two even though using two nodes doubles the amount of cores.
Also, writing a program in CUDA isn't too hard, however writing a program that effectively utilizes all of the resources of a GPU is beyond difficult.
 
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post #29 of 67
Quote:
Originally Posted by mdatmo;12518154 
This is the reason why simulations at the small cluster at my work run as fast on a single node as opposed to two even though using two nodes doubles the amount of cores.
Also, writing a program in CUDA isn't too hard, however writing a program that effectively utilizes all of the resources of a GPU is beyond difficult.
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post #30 of 67
ok so it could be used for server use okay thats 1. now where is my 10ghz graphene cpu?
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