"A Top500.org normál, perf/watt és HPCG listát vezet."

Nem baj Abu. A top500.org is beszámolt róla [link] görgess le. Ennyira nyíltan nyomod már? Ott van a HPCG eredmények után, ahol te megálltál. Ejj..
Szinte mindenki más beszámolt róla, nem csak arról, amiben első a Frontier.

GREEN500 Results
This edition of the GREEN500 saw a major shakeup, as all of the Top 3 machines are new to the list.

The No. 1 spot on the GREEN500 was claimed by JEDI - JUPITER Exascale Development Instrument, a new system from EuroHPC/FZJ in Germany. Taking the No. 190 spot on the TOP500, JEDI achieved an energy efficiency rating of 72.73 GFlops/Watt while producing an HPL score of 4.5 PFlop/s. JEDI is a BullSequana XH3000 machine with a Grace Hopper Superchip 72C. It has 19,584 total cores.

The Isambard-AI machine out of the University of Bristol in the U.K. claimed the No. 2 spot with an energy efficiency rating of 68.83 GFlops/Watt and an HPL score of 7.42 PFLop/s. Isambard-AI achieved the No. 129 spot on the TOP500 and has 34,272 total cores.

The No. 3 spot was claimed by the Helios system from Cyfronet out of Poland. The machine achieved an energy efficiency score of 66.95 GFlops/Watt and an HPL score of 19.14 PFlop/s.

Like the last list, the Frontier system deserves an honorable mention when discussing energy efficiency. Frontier achieved an exascale HPL score of 1.206 EFlop/s while also earning an energy efficiency score of 56.97 GFlops/Watt. This places the system at No. 11 on the GREEN500 in addition to its No. 1 spot on the TOP500.

HPCG Results
The TOP500 list has incorporated the High-Performance Conjugate Gradient (HPCG) benchmark results, which provide an alternative metric for assessing supercomputer performance. This score is meant to complement the HPL measurement to give a fuller understanding of the machine.

Supercomputer Fugaku is the leader on the HPCG benchmark with an impressive score of 16 HPCG-PFlop/s.

Frontier came in second with a score of 14.1 HPCG-PFlop/s.

Aurora came in third with a score of 5.6 HPCG-PFlop/s. However, it is important to note that Aurora only used about 40% of its nodes for the HPCG run. The Aurora team plans to get a full system run for the next TOP500 list.

HPL-MxP Results (Formerly HPL-AI)
The HPL-MxP benchmark seeks to highlight the use of mixed precision computations. Traditional HPC uses 64-bit floating point computations. Today, we see hardware with various levels of floating-point precisions - 32-bit, 16-bit, and even 8-bit. The HPL-MxP benchmark demonstrates that by using mixed precision during computation, much higher performance is possible. By using mathematical techniques, the same accuracy can be computed with a mixed-precision technique when compared with straight 64-bit precision.

This year's winner of the HPL-MxP category is the Aurora system with 10.6 EFlop/s. Frontier has been pushed from the top spot on the last list to the No. 2 spot with a score of 10.2 EFlop/s, and LUMI is now in third place with a score of 2.35 EFlop/s.

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