Cray, Intel To Partner On Hybrid Supercomputer 106
An anonymous reader writes "Intel convinced Cray to collaborate on what many believe will be the next generation of supercomputers — CPUs complemented by floating-point acceleration units. NVIDIA successfully placed its Tesla cards in an upcoming Bull supercomputer, and today we learn that Cray will be using Intel's x86 Larrabee accelerators in a supercomputer that is expected to be unveiled by 2011. It's a new chapter in the Intel-NVIDIA battle and a glimpse at the future of supercomputers operating in the petaflop range. The deal has also got to be a blow to AMD, which has been Cray's main chip supplier."
Re:AMD worried? (Score:3, Informative)
I'll list them for you:
*The company that made the Gamecube hardware was later bought by ATI, so ATI didn't have much to do with that.
Most likely? (Score:5, Informative)
The majority (but not all) supercomputers on the top 500 supercomputer list [top500.org] are related not to nuclear weapons research, but meteorological/oceanographic & other scientific uses.
Re:Mega-petaflops for people (Score:3, Informative)
Re:Mega-petaflops for people (Score:5, Informative)
Re:Mega-petaflops for people (Score:5, Informative)
Re:Mega-petaflops for people (Score:3, Informative)
In both cases you're harnessing the power of at least 2 CPU cores over the internet to accomplish a computing task.
But the capacity of the two is separated by multiple orders of magnitude.
And, really, a 10 second delay is hardly even an annoyance for a human as we swap between our IM, Email, iTunes and the game we're playing. But that same 10 seconds in a parallel computing environment where X nodes are idled waiting for a result from Y?
Also, you seem a bbit like a douche bag. No offense. But emoticons? Seriously?
Department of Energy (Score:3, Informative)
High-end supercomputers are used, in significant ways, for climate research, short-term weather forcasts, seismic modeling, cosmology, fusion research, protein folding, predicting the size of petrolium deposits, automotive and aircraft designs, and a host of other engineering codes. Even with that stated, the piece of the pie chart labelled "other" is 35% of the total.
On the other hand, nuclear weapons simulation is a difficult enough problem, and requires a powerful enough machine, that it subsidizes the design of super-scalable machines that are then sold to other customers for other tasks.