Photos: left: Param Sidhi Ai. right: HPE Frontier
November 24 2022: There is no change in the names of the world's 3 fastest super computers -- or of the three India-based machines in the semi annual global rankings of the Top500 computers announced earlier this month.
The 60th edition of the TOP500 reveals that the Frontier system is still the only true exascale machine on the list. 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.
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,another HPE Cray EX system installed at EuroHPC center at CSC in Finland 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.
There is a new number 4: 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.
The 3 systems slipped from their June 2022 rankings of 111, 132 and 249 respectively
Rank/ System/ Cores/ Rmax (PFlop/s)/ Rpeak (PFlop/s)/ Power (kW)
120/ PARAM Siddhi-AI - NVIDIA DGX A100, AMD EPYC 7742 64C 2.25GHz, NVIDIA A100, Mellanox HDR Infiniband, Atos Center for Development of Advanced Computing (C-DAC) / 41,664/ 4.62 /5.27
143/Pratyush - Cray XC40, Xeon E5-2695v4 18C 2.1GHz, Aries interconnect , HPE Indian Institute of Tropical Meteorology/ 119,232/ 3.76/ 4.01/ 1,353
277/Mihir - Cray XC40, Xeon E5-2695v4 18C 2.1GHz, Aries interconnect , HPE National Centre for Medium Range Weather Forecasting/ 83,592/ 2.57/ 2.8/ 955