Well, in a HPC, the compute nodes, and the storage nodes are always separate, however, since they are using infiniband interconnect and all, why create a bottleneck by using very slower SATA HDDs?
Perhaps, the amount of collective RAM in the nodes is massive, and the procession data overall is loaded into the RAM for faster access......yet, im just wondering that........
Anyone else notice but you mention the supercomputer has 4870x2's and yet your article title talks about the 'green goblin', aka NVIDIA. You then mention CUDA, which as far as I know is NVIDIA technology not ATI. Jeez - a tech reporter should really proof read 1st, and a tech editor should have sniffed out those mistakes.
IS this story a load of 'ole bollox, or are is there a real story with correct facts behind it ? ...Mageek would be choking on his pint reading this twaddle.
Was this for Balance to the HD4K GPU cluster being the first GPU based solution breaking the top ten (top 5) for the first time?
Because as such it's lame since the computer mentioned wouldn't break the top 15, and it's far from the first nVidia solution either as there are MANY peppered in the top 500, starting with # 56 TSUBAME;
http://www.top500.org/system/9883
which has 21600 GB (which seems more appropriate having 20TB) and is already IN the list, not a future contender.
There is no news in this other than it's a non-asian cluster, not that it's either GPU based nor an nVidia solution. Makes me question the relevance to the overall picture other than that.
I don't see why they put ATI and Nvidia gpu's in the same box, they're not code-compatible.
Internal storage capacity is irrelevant, all the work data is stored on the SAN, unfortunately it's specs aren't mentioned here.
Well, in a HPC, the compute nodes, and the storage nodes are always separate, however, since they are using infiniband interconnect and all, why create a bottleneck by using very slower SATA HDDs?
Perhaps, the amount of collective RAM in the nodes is massive, and the procession data overall is loaded into the RAM for faster access......yet, im just wondering that........
That's got to mean one 500GB sata drive per node...
also, @Creesh: You're an idiot, the computer using ATI gpu's is a completely different machine than the one the article is about. Learn how to read.
@ Creesh
it does use nvidia GPU's. When he mentions the radeon cards hes talking about another supercomputer that uses GPUs aswell as CPU's.
"The system also has 64 Tesla S1070 modules"
TESLA are nvidia GPU's :)
Anyone else notice but you mention the supercomputer has 4870x2's and yet your article title talks about the 'green goblin', aka NVIDIA. You then mention CUDA, which as far as I know is NVIDIA technology not ATI. Jeez - a tech reporter should really proof read 1st, and a tech editor should have sniffed out those mistakes.
IS this story a load of 'ole bollox, or are is there a real story with correct facts behind it ? ...Mageek would be choking on his pint reading this twaddle.
What is the news in this?
Was this for Balance to the HD4K GPU cluster being the first GPU based solution breaking the top ten (top 5) for the first time?
Because as such it's lame since the computer mentioned wouldn't break the top 15, and it's far from the first nVidia solution either as there are MANY peppered in the top 500, starting with # 56 TSUBAME;
http://www.top500.org/system/9883
which has 21600 GB (which seems more appropriate having 20TB) and is already IN the list, not a future contender.
There is no news in this other than it's a non-asian cluster, not that it's either GPU based nor an nVidia solution. Makes me question the relevance to the overall picture other than that.
Yeah, but programming it is a bitch. The machine keeps fragging your code.
"500GB" ?
Glad to see Aussies are so keen on using antiquated proprietary solutions. Perhaps their next step will be using Apple IIs.
Would love to see this thing churn through RC5-72 blocks. :)
flooding @ home ;)
Or for Crysis so you can break the 60FPS barrier!