Think your computer is slow now?
IBM’s Blue Gene passes petaflop milestone: News – Hardware – ZDNet Australia
IBM claims that its new Blue Gene/P supercomputer, operating at petaflop speed performs more operations than a 1.5-mile-high stack of laptops.IBM has devised a new Blue Gene supercomputer — the Blue Gene/P — that will be capable of processing more than 3 quadrillion operations a second, or 3 petaflops, a possible record. Blue Gene/P is designed to continuously operate at more than 1 petaflop in real-world situations.
Well, now what do you think about your laptop?
Here’s another quote:
The chip inside Blue Gene/P consists of four PowerPC 450 cores running at 850MHz each. A 2×2 foot circuit board containing 32 of the Blue Gene/P chips can churn out 435 billion operations a second. Thirty two of these boards can be stuffed into a 6-foot-high rack.
In other words, when they duplicate this configuration with state of the art 3 GHz cores, the result will be an order of magnitude faster. And by then, of course, the core chips will be faster still. Soon enough we’ll be talking about “exaflop” computing, which is 10 raised to the 18th power operations per second.
Kurzweil is looking smarter every day….
4 users commented in " IBM’s Blue Gene passes petaflop milestone "
Follow-up comment rss or Leave a TrackbackThis is parrelel though, right? The actual sequential rate is still somewhere around a GHz. Parallel processing is easy to scale without bound. Sequential processing has hard and fast limits though.
Not to rip on parallel processing though – our brains have a few billion parallel processors. Many problems can be solved in parallel. However, problems in general have sequential pieces to them that can only be solved in a sequence. That’s why any parallel process can be simulated on an equivalently powerful sequential processor, but not all sequential processes can be run in equivalent time on a parallel processor.
Now all they need is a home super-parralelized operating system.
Yes, it is parallel. But even so, the OS level support for parallel processing has been improving every year so that the line between what a sequential processor and a parallel processor can do is getting more and more blurred. This is precisely why Intel and AMS are now shipping CPUs with multiple cores in consumer products today, and the processing benefits of the new parallel-enabled OS environments have proven to be quite evident even in real world processing. In scientific simulations, such as gobal climate modeling, the programs themselves are written to take advantage of the parallel processing so the benefits of a parallel processor are even greater. So I am comfortable saying that the fact that this is a parallel processing approach does not significantly alter the actual problem-solving benefit of the new computers.
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