Fugaku Holds Top Spot, Exascale Remains Elusive:
FRANKFURT, Germany; BERKELEY, Calif.; and KNOXVILLE, Tenn.— The 57 th edition of the TOP500 saw little change in the Top10. The only new entry in the Top10 is the Perlmutter system at NERSC at the DOE Lawrence Berkeley National Laboratory. The machine is based on the HPE Cray "Shasta" platform and a heterogeneous system with both GPU-accelerated and CPU-only nodes. Perlmutter achieved 64.6 Pflop/s, putting the supercomputer at No. 5 in the new list.
The Japanese supercomputer Fugaku held onto the top spot on the list. A system codeveloped by Riken and Fujitsu, Fugaku has an HPL benchmark score of 442 Pflop/s. This performance exceeds the No. 2 Summit by 3x. The machine is based on Fujitsu's custom ARM A64FX processor. What's more, in single or further reduced precision, which is often used in machine learning and AI, Fugaku's peak performance is actually above an exaflop. Such an achievement has caused some to introduce this machine as the first "Exascale" supercomputer. Fugaku already demonstrated this new level of performance on the new HPL-AI benchmark with 2 Eflop/s.
Outside of this, we saw quite a few instances of Microsoft Azure and Amazon EC2 Cloud instances fairly high on the list. Pioneer-EUS, the machine to snag the No. 24 spot and the No.27 Pioneer-WUS2, rely on Azure. The Amazon EC2 Instance Cluster at No. 41 utilizes Amazon EC2.
[...] Green500 results
Although there was a trend of steady progress in the Green500, nothing has indicated a big step toward newer technologies.
The system to snag the No. 1 spot for the Green500 was MN-3 from Preferred Networks in Japan. Knocked from the top of the last list by NVIDIA DGX SuperPOD in the US, MN-3 is back to reclaim its crown. This system relies on the MN-Core chip, an accelerator optimized for matrix arithmetic, as well as a Xeon Platinum 8260M processor. MN-3 achieved a 29.70 gigaflops/watt power-efficiency and has a TOP500 ranking of 337.
HiPerGator AI of the University of Florida in the USA is now No.2 on the Green500 with a 29.52 gigaflops/watt power-efficiency. An NVIDIA machine boasts 138,880 cores, much more than any other machine in the Top5 of the Green500. Like many other systems on the list, this supercomputer utilizes an AMD processor – specifically the AMD EPYC 7742. With an overall performance that outpaces most of the other competition on the Green500, it's no surprise this machine holds the 22nd spot on the TOP500 list.
The Wilkes-3 system out of the University of Cambridge in the U.K. has achieved the No. 3 spot. A Dell EMC machine, this supercomputer had an efficiency of 28.14 gigaflops/watt. Like HiPerGator AI, this system relies on an AMD EPYC processor – the AMD EPYC 7763. This system is ranked 101 on the TOP500 list.
[...] About the TOP500 List
The first version of what became today's TOP500 list started as an exercise for a small conference in Germany in June 1993. Out of curiosity, the authors decided to revisit the list in November 1993 to see how things had changed. About that time, they realized they might be onto something and decided to continue compiling the list, which is now a much-anticipated, much-watched and much-debated twice-yearly event.
The TOP500 list is compiled by Erich Strohmaier and Horst Simon of Lawrence Berkeley National Laboratory; Jack Dongarra of the University of Tennessee, Knoxville; and Martin Meuer of ISC Group, Germany.
Related Stories
The Frontier supercomputer at the Oak Ridge National Laboratory (ORNL) has exceeded 1.1 exaFLOPS (Rmax), leading the June 2022 TOP500 list as the world's fastest supercomputer and the first truly "exascale" system.
Frontier uses 9,408 64-core Epyc 7A53 CPUs and 37,632 AMD Instinct MI250X GPUs. It has 4.6 petabytes each of DDR4 and High Bandwidth Memory.
Frontier also reached #2 on the June 2022 Green500 list at 52.227 gigaFLOPS/Watt, behind the smaller Frontier Test & Development System:
Previously, Frontier had been characterized as a two peak exaflops system, but its first Top500 benchmark measures some 1.686 peak exaflops. (Oak Ridge said that there remains "much higher headroom on the GPUs and the CPUs" to achieve the two peak exaflops target.) Outside of Linpack and the Top500, the system benchmarks at 6.88 exaflops of mixed-precision performance on HPL-AI. The team ran out of time and was not able to submit an HPCG benchmark.
[...] Frontier also achieved another win out of the gate: second place on the spring 2022 Green500 list, which ranks supercomputers by their flops per watt. The Oak Ridge team accomplished this by delivering those 1.102 Linpack exaflops in a 21.1-megawatt power envelope, an efficiency of 52.23 gigaflops per watt (which works out to one exaflops at 19.15 megawatts). This puts the system well within the 20-megawatt exascale power envelope target set by DARPA in 2008—a target that had been viewed with much skepticism over the ensuing 14 years. Frontier was only outpaced in efficiency by its own test and development system (Frontier TDS, aka "Crusher"), which delivered 62.68 gigaflops per watt.
#10: 30.05 petaflops (Nov. 2021) → 46.10 petaflops (June 2022)
#100: 4.79 petaflops → 5.39 petaflops
#500: 1.65 petaflops → 1.65 petaflops (both are Lenovo C1040, Xeon E5-2673v4 20C 2.3GHz systems)
Previously: New TOP500 List Released -- Fugaku Holds Top Spot, Exascale Remains Elusive; Green500 Released Too!
Top500: No Exascale, Fugaku Still Reigns, Polaris Debuts at #12
(Score: 5, Interesting) by martyb on Tuesday June 29 2021, @10:45PM
Wit is intellect, dancing.
(Score: 3, Interesting) by takyon on Tuesday June 29 2021, @11:05PM
No petaflops? No rank.
June 2021:
#1: 442 petaflops [top500.org]
#10: 23.5 petaflops [top500.org]
#100: 4.12 petaflops [top500.org]
#500: 1.51 petaflops [top500.org]
Nov. 2020:
#1: 442 petaflops
#10: 22.4 petaflops [top500.org]
#100: 3.15 petaflops [top500.org]
#500: 1.32 petaflops [top500.org]
AMD EPYC CPUs Power 3 of Top 10 Supercomputers on The Planet, Also Has 8 of The Top 10 Most Energy Efficient Supercomputers [wccftech.com]
[SIG] 10/28/2017: Soylent Upgrade v14 [soylentnews.org]
(Score: 2) by epitaxial on Wednesday June 30 2021, @12:30AM
Nice to see the POWER9 processor still holding at second place.
(Score: -1, Troll) by Anonymous Coward on Wednesday June 30 2021, @01:14AM (1 child)
Fugaku is Janglish for "fook yu".
(Score: 1, Funny) by Anonymous Coward on Wednesday June 30 2021, @01:48AM
Go back to Slashdot.
(Score: 2) by Gaaark on Wednesday June 30 2021, @02:16AM
https://itigic.com/operating-systems-most-used-by-supercomputers/ [itigic.com]
--- Please remind me if I haven't been civil to you: I'm channeling MDC. ---Gaaark 2.0 ---
(Score: 0) by Anonymous Coward on Wednesday June 30 2021, @02:49AM (1 child)
> we saw quite a few instances of Microsoft Azure and Amazon EC2 Cloud instances fairly high on the list.
They need to add inter-node bandwidth and latency factors to their ranking tests. A proper cluster using Infiniband (possibly a mesh) to connect the nodes is going to destroy anything from a cloud provider on most real world tasks.
Massive compute with crappy interconnect may work for some things, but it will be a tiny subset of the types of problems these clusters are used for. Seems wrong to compare as if apples to apples a cluster that is only a fraction as useful as another.
(Score: 0) by Anonymous Coward on Wednesday June 30 2021, @06:30AM
I suggest you read the paper "Jupiter Rising: A decade of Clos Topologies and Centralized Control in Google's Datacenter Network", available here: https://conferences.sigcomm.org/sigcomm/2015/pdf/papers/p183.pdf [sigcomm.org]
Table 2 should give you pause. It describes the state in 2012. We're now 9 years later. Given the pace at which they replace their networking topologies, they should have 2 or 3 newer generations of networking. Extrapolate from that.
400GbE finished standardization in 2017.
What the giants are actually playing with at the moment, are well kept secrets. However, it's safe to say that a bunch of the cloud computing giants are leaps and bounds ahead of the rest of the world with what they put in each node.
(Score: 0) by Anonymous Coward on Wednesday June 30 2021, @03:00AM (4 children)
Since neither the summary nor the article itself ever defined just what the holy fuck the "TOP500" actually is (sure, from context it's a list of computers, but ranked how?), I dug around the site and found:
"In the present list (which we call the TOP500), we list computers ranked by their performance on the LINPACK Benchmark. "
By the time I found that much, I'd stopping giving a damn, so y'all will have to look up what the fuck that benchmark is all on your own.
(Score: 2, Touché) by Anonymous Coward on Wednesday June 30 2021, @03:38AM
You must be new here.
To the technology world, that is.
I suppose this is an instance of https://xkcd.com/1053/. [xkcd.com]
(Score: 0) by Anonymous Coward on Wednesday June 30 2021, @03:54AM
hi, mom!
(Score: 2, Informative) by Anonymous Coward on Wednesday June 30 2021, @04:30AM
LINPACK benchmarks measure how fast a computer solves a set of linear equations which is then reduced to FLOPS. Basically, it is one number that you can use to compare processing systems. It isn't the only one or the best but it has been around for the longest. It has been around for so long that it has even outlived the library (LINPACK is written in FORTRAN, which is mostly dead) it was originally created to test.
(Score: 0) by Anonymous Coward on Thursday July 01 2021, @01:31AM
This story was just an elabrate hoax to find who's the most retarded non-contributor to the site. Well, done, you've taken a strong lead.
How can you not have heard of something that has happened every 6 months for decades? Whatever dark disconnected hole you were living in - please go back there.