The system to claim the No. 1 spot for the Green500 was MN-3 from Preferred Networks in Japan. Relying on the MN-Core chip and an accelerator optimized for matrix arithmetic, this machine was able to achieve an incredible 39.38 gigaflops/watt power-efficiency. This machine provided a performance 29.7- gigaflops/watt on the last list, clearly showcasing some impressive improvement. It also enhanced its standing on the TOP500 list, moving from No. 337 to No. 302.
The new SSC-21 Scalable Module an HPE Apollo 6500 system installed at Samsung Electronics in South Korea achieved an impressive 33.98 gigaflops/watt. They did so by submitting an power optimized run of the HPL benchmark. It is listed at position 292 in the TOP500.
NVIDIA installed a new liquid cooled DGX A100 prototype system called Tethys. With a power optimized HPL run Tethys achieved 31.5 gigaflops/watt and garne red the No. 3 spot on the Green500. It is listed at position 296 in the TOP500.
The Wilkes-3 system improved its results but was still pushed down to the No.4 spot on the Green500. Wilkes-3, which is housed at the University of Cambridge in the U.K., had a power-efficiency of 30.8 gigaflops/watt. However, it was pushed from No. 100 to No. 281 on the TOP500 list.
The University of Florida in the USA with its HiPerGator AI system was pushed from the No. 2 spot to the No. 5 spot. This machine held steady at 29.52 gigaflops/watt. This NVIDIA system has 138,880 cores and relies on an AMD EPYC 7742 processor. Despite this impressive performance, HiPerGator AI was pushed from No. 22 to No. 31 on the TOP500.
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.
