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  • I'm Gary Grider. I'm the division leader for High-Performance Computing at

  • Los Alamos National Lab. So, Los Alamos has been in the supercomputing business

  • for a long, long time: from the 40s before it was really called supercomputing.

  • We actually took the first problem to the first computer in the United

  • States: the ENIAC. Subsequently, we built our own variant of ENIAC

  • called MANIAC here at the Laboratory. We've been involved in a lot of firsts.

  • Probably one of the most important firsts is the invention of the Monte

  • Carlo Simulation Method and that was invented by Nicholas Metropolis

  • at Los Alamos. Almost every simulation done today uses Monte Carlo in some

  • way and so it's a really big deal. A recent first was the first machine to

  • achieve petascale, petaflop computing and that was Roadrunner. Roadrunner

  • was quite an interesting turning point for the community I think and it's led

  • us towardIf we can compute at that scale, can we compute an order of

  • magnitude, or two or three, more to explore things we didn't think we

  • could explore?” and that led to Trinity and Trinity was really designed to

  • solve this really large problem that needed to be resolved out to the point

  • where you needed the multi-petabytes of memory running on one job for many

  • months at a time to solve one problem. We have a request for proposal now

  • that's out to buy a machine to be delivered in 2020 and that machine

  • will be probably three to six, maybe eight, times larger than Trinity is some way.

  • And the reason we're buying a machine in 2016 to be delivered in 2020 is because

  • we're buying something that no one's invented yet, and it's going to take us

  • three or four years working with the chosen vendor. And so the whole cycle

  • is really quite long, right? It's four years to buy something and work with the vendor

  • to develop the technology, then you finally get it here and it takes a year to make it work

  • because it's never worked before, and then you get four years of productive

  • computing out of it and then it goes away and you do it again. At any one

  • time we have to have multiples of these going at once because it takes

  • nine years to do them.

I'm Gary Grider. I'm the division leader for High-Performance Computing at


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スーパーコンピューティングの長い歴史 (A Long History of Supercomputing)

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    johnyang8781 に公開 2021 年 01 月 14 日