U.S. now fastest computer in the world and first ever Exascale computer
Yeah, I heard about that last week. The "fastest" keeps traveling from country to country. Quantum computing will blow everything away.
I'm surprised that they use "flop" as an indication of success.
When do they come out with a laptop version"
When will they come out with a laptop version?
I had one, but my Better Half made me sell it. She said that I was spending too much time on the internet searching for....you know...😜
TriX wrote:
The No. 1 spot is now held by the Frontier system at Oak Ridge National Laboratory (ORNL) in the US. Based on the latest HPE Cray EX235a architecture and equipped with AMD EPYC 64C 2GHz processors, the system has 8,730,112 total cores, a power efficiency rating of 52.23 gigaflops/watt, and relies on gigabit ethernet for data transfer.
However, a recent development to the Frontier system has allowed the machine to surpass the 1 exaflop barrier. With an exact HPL score of 1.102 Exaflop/s, Frontier is not only the most powerful supercomputer to ever exist – it’s also the first true exascale machine.
The No. 1 spot is now held by the Frontier system ... (
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Yeah. But can it run Photoshop?
TriX
Loc: Raleigh, NC
jerryc41 wrote:
Yeah, I heard about that last week. The "fastest" keeps traveling from country to country. Quantum computing will blow everything away.
I'm surprised that they use "flop" as an indication of success.
The Top 500 list is updated twice a year and changes pretty frequently. The number one spot has alternated between the US, Japan and China for years, but the US has generally had about half the machines in the top ten. As a generalization, the last big Chinese machines have used a lot more cores for equivalent performance and been very power hungry (there’s often a substation next to a supercomputer installation). In the US, Oak Ridge (ORNL), Lawrence Livermore (LLNL) and more recently Argonne National Labs, have been the “big 3” in the US and at/near the top of the list, and will all be Exascale machines (> 1 ExaFlop). All of these are funded by DOE (Dept. Of Energy). To put the growth of high performance computing in perspective, I sold the storage and was on the team that assembled one of the first PetaFlop machines (at Argonne National labs) about a dozen years ago, and now we are at 1000x that performance, assisted greatly by the advent and use of GPUs from either NVidia or AMD. Also, ten years ago, IBM dominated this space with Blue Gene machines, but now HP Enterprise (HPE) has teamed up with Cray and is dominating the HPC landscape in the U.S.
https://www.top500.org/lists/top500/2022/06/Regarding Quantum computing, which is still in its infancy, the goals are multiplying the number of useful Qbits (100 Qbits is a big machine) and reducing errors, which is a big problem. Unlike conventional Von Neumann architectures, computing errors seem to be an intrinsic part of quantum computing, but new architectures are reducing them. Quantum computers are very good at certain types of operations such as optimizations and encryptions/probability, but not all, so I see them supplementing conventional computing for certain tasks, but not replacing them. Hell, they don’t even run Photoshop (yet)
Fredrick
Loc: Former NYC, now San Francisco Bay Area
TriX wrote:
The No. 1 spot is now held by the Frontier system at Oak Ridge National Laboratory (ORNL) in the US. Based on the latest HPE Cray EX235a architecture and equipped with AMD EPYC 64C 2GHz processors, the system has 8,730,112 total cores, a power efficiency rating of 52.23 gigaflops/watt, and relies on gigabit ethernet for data transfer.
However, a recent development to the Frontier system has allowed the machine to surpass the 1 exaflop barrier. With an exact HPL score of 1.102 Exaflop/s, Frontier is not only the most powerful supercomputer to ever exist – it’s also the first true exascale machine.
The No. 1 spot is now held by the Frontier system ... (
show quote)
I wonder if I can get one to back up my images?
TriX wrote:
The Top 500 list is updated twice a year and changes pretty frequently. The number one spot has alternated between the US, Japan and China for years, but the US has generally had about half the machines in the top ten. As a generalization, the last big Chinese machines have used a lot more cores for equivalent performance and been very power hungry (there’s often a substation next to a supercomputer installation). In the US, Oak Ridge (ORNL), Lawrence Livermore (LLNL) and more recently Argonne National Labs, have been the “big 3” in the US and at/near the top of the list, and will all be Exascale machines (> 1 ExaFlop). All of these are funded by DOE (Dept. Of Energy). To put the growth of high performance computing in perspective, I sold the storage and was on the team that assembled one of the first PetaFlop machines (at Argonne National labs) about a dozen years ago, and now we are at 1000x that performance, assisted greatly by the advent and use of GPUs from either NVidia or AMD. Also, ten years ago, IBM dominated this space with Blue Gene machines, but now HP Enterprise (HPE) has teamed up with Cray and is dominating the HPC landscape in the U.S.
https://www.top500.org/lists/top500/2022/06/Regarding Quantum computing, which is still in its infancy, the goals are multiplying the number of useful Qbits (100 Qbits is a big machine) and reducing errors, which is a big problem. Unlike conventional Von Neumann architectures, computing errors seem to be an intrinsic part of quantum computing, but new architectures are reducing them. Quantum computers are very good at certain types of operations such as optimizations and encryptions/probability, but not all, so I see them supplementing conventional computing for certain tasks, but not replacing them. Hell, they don’t even run Photoshop (yet)
The Top 500 list is updated twice a year and chang... (
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Other than the game Thermonuclear Warfare
, what types of operations do these big computers do?
TriX
Loc: Raleigh, NC
SteveR wrote:
Other than the game Thermonuclear Warfare
, what types of operations do these big computers do?
Nuclear Weapons research/modeling, plasma, astrophysics, quantum/subatomic physics, drug/cancer and weather modeling/research are some of the more popular uses. Even Formula 1 racing teams use supercomputers (and the amount of time each team is allocated is governed by the rules).
Just to add, supercomputers have changed the way we do all sorts of science. Rather than the old method of hypothesis/experiment and repeat, we can now just model all the possibilities and choose the winner.
No. But they could probably have the one we left in Afghanistan.
Bridges wrote:
Eventually, these things will become smart enough to believe humans are a virus on the earth and will launch a nuclear attack that will wipe out all human life on earth. They won't understand it will wipe out all life due to nuclear winter nor will it understand that without humans so many systems will fail that they will doom themselves.
So bridges, is this idea something you just thought of or did you write the script for the Terminator movies? Ha! Just giving you a hard time.
TriX wrote:
Nuclear Weapons research/modeling, plasma, astrophysics, quantum/subatomic physics, drug/cancer and weather modeling/research are some of the more popular uses. Even Formula 1 racing teams use supercomputers (and the amount of time each team is allocated is governed by the rules).
Just to add, supercomputers have changed the way we do all sorts of science. Rather than the old method of hypothesis/experiment and repeat, we can now just model all the possibilities and choose the winner.
We've come a long way from EMERAC.
It means IRS will be able to calculate how much you own them, doesn’t mean they’ll reimburse faster
TriX
Loc: Raleigh, NC
Fotoserj wrote:
It means IRS will be able to calculate how much you own them, doesn’t mean they’ll reimburse faster
As far as I can tell, the IRS is still using an abacus. Last year I filed on time in April and received my (small) refund in late December. My son filed his a little late in May, and just got his refund a year later last month.
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