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Second place on the list goes to a system with a max speed of 478.2 teraflops

IBM’s latest supercomputer – Roadrunner -- sits atop the Top500 supercomputers list that will be released at the International Supercomputing Conference in Dresden, Germany this week.

Its rise to the top of the list comes after it was able to break the petaflop barrier last week. News.com reports that Roadrunner was able to reach 1.026 petaflops, a bit over one quadrillion calculations per second.

The Roadrunner supercomputer dethroned IBM’s own BlueGene/L -- last year’s most powerful supercomputer -- pushing BlueGene/L to the number two spot on the list. BlueGene/L was able to reach 208.6 teraflops last year. This year it more than doubled its performance to 478.2 teraflops, but was still unable to match Roadrunner.

Roadrunner is based on the IBM QA22 blades that use an advanced version of the Cell processor found in the Sony PS3. The processing cores used in the Roadrunner are from AMD and make the machine the world’s first hybrid supercomputer.

Roadrunner is comprised of 278 refrigerator-size server racks and has 6,562 dual-core Opterons. IBM is the manufacturer of 210 of the 500 supercomputers on the Top500 list. Other well known makers with systems making the Top500 list include HP with 183 systems on the list and its top performer taking the number 8 spot on the list.

Sun has its Ranger system on the list at number 4, the Jaguar from Cray is number 5, Encanto from SGI is number 7, and Altix from SGI is number 10. Intel is the dominant processor in the supercomputer market powering 75% of all systems that made the Top500 list and 90% of ranked quad-core processor machines.

DailyTech covered the Roadrunner supercomputer last week.



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RE: firestream?
By spluurfg on 6/19/2008 10:04:10 AM , Rating: 2
quote:
is it? its just a bunch of cell processors, imo not that much different from GPGPUs, both are exotic compared to x86 also i'm talking about price/performance so its not apples and oranges


Yes, it's apples and oranges. If general purpose code were indeed faster on a graphics processor, you can bet that's what we'd be using right now. Also, consider the amount of memory bandwidth being fed to a Firestream GPU compared to an Opteron. It's an entire order of magnitude different. That would have very large implications when trying to run large numbers of these things in parallel and maintaining scaling performance.


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