With an HPL score of 1.102 EFlop/s, the Frontier machine at Oak Ridge National Laboratory (ORNL) did not improve upon the score it reached on the June 2022 list. That said, Frontier’s near-tripling of the HPL score received by second-place winner is still a major victory for computer science. On top of that, Frontier demonstrated a score of 7.94 EFlop/s on the HPL-MxP benchmark, which measures performance for mixed-precision calculation. Frontier is based on the HPE Cray EX235a architecture and it relies on AMD EPYC 64C 2GHz processor. The system has 8,730,112 cores and a power efficiency rating of 52.23 gigaflops/watt. It also relies on gigabit ethernet for data transfer.
Frontier is the clear winner of the race to exascale, and it will require a lot of work and innovation to knock it from the top spot.
The Fugaku system at the Riken Center for Computational Science (R-CCS) in Kobe, Japan, previously held the top spot for two years in a row before being moved down by the Frontier machine. With an HPL score of 0.442 EFlop/s, Fugaku has retained its No. 2 spot from the previous list.
The LUMI system, which found its way to the No. 3 spot on the last list, has retained its spot. However, the system went through a major upgrade to keep it competitive. The upgrade doubled the machines size, which allowed it to achieve an HPL score of 0.309 EFlop/s.
The only new machine to grace the top of the list was the No. 4 Leonardo system at EuroHPC/CINECA in Bologna, Italy. The machine achieved an HPL score of 0.174 EFlop/s with 1,463,616 cores.
Rmax and Rpeak values are in PFlop/s. For more details
about other fields, check the TOP500 description.
Rpeak values are calculated using the advertised clock rate of the CPU. For the
efficiency of the systems you
should take into account the Turbo CPU clock rate where it applies.