Intel Squeezes 1.8 TFlops Out of One Processor

Jagdeep Poonian writes "It appears as though Intel has been able to squeeze 1.8 TFlops out of one processor and with a power consumption of 62 watts." The AP version of the story is mostly the same; a more technical examination of TeraScale is also available.

Comments

Both cool and useless for 99% of computing

[tomstdenis]

The trick like SPEs is finding way to efficiently use them in as many tasks as they can.

I'm glad to see Intel is using their size for more than x86 core production though.

Tom

Just imagine

[andyck]

"Intel" "Introducing the NEW CORE 80, personal laptop supercomputer running Windows waste my ram and cpu cycles SP2 edition" But seriously this looks interesting for the future. Now we just need software to fully utilize multicore processors.

exaflop computers?

[peter303]

Since petaflops are likely by the end of the decade its time to imagine exaflops in 2020.

What is the point for 80 cores on the FSB

[Joe The Dragon]

The FSB will be a big bottleneck even more so with the cpu needing to use to get to ram. You would need about 3-4 FSBs with 1-2 mb per core of L2 to make it fast.

Narrow Minded

[Deltronica]

Many comments on this post are centered around the processor's use as a personal computing solution. There is much more to computing than PCs! When viewed alongside specialized programming technology, bioinformatics, neurology, and psychology, this (rather large) leap in processing power brings AI to yet another level, and continues the law of accelerated returns. I'm not saying "oh wow now we can have human-like AI", I'm just saying that the ability to process 1.8 Tflops is nothing to scoff. Personal computing is inane and almost moot when compared to the other applications that new processors may pave the way for. Know your facts, but use your imagination.

Re:What kinds of apps does this make reasonable?

[vertinox]

Does this permit the practical use of any truly breakthrough apps?

From my understanding perhaps with that many cores, the OS could simply allocate one application per core.

But the OS has to support that feature or have applications that know how to call unused cores.

From my understanding Parallels for OS X only uses one core and picks the second core to run on for the best performance.

Of course then there are applications that could be programmed to use all the cores at once if they needed to do scientific calculations or something like Ray Tracing.