For the fifth consecutive time, Frontier tops the list of the world’s most powerful supercomputers, but it's no longer the only exascale machine on the TOP500 list. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy Frontier held onto its No. 1 ranking in the 63rd edition of the TOP500, but with the second place Aurora system breaking the exascale machine barrier, the end of Frontier’s reign could be in sight. The Frontier system at Oak Ridge National Laboratory (ORNL) in Tenn., maintained its leading position with an HPL score of 1.206 EFlop/s. With a total of 8,699,904 combined CPU and GPU cores, the Frontier system has an HPE Cray EX architecture that combines 3rd Gen AMD EPYC CPUs optimized for HPC and AI with AMB Instinct MI250X accelerators. The system relies on Cray’s Slingshot 11 network for data transfer, and the machine has a power efficiency rating of 52.93 GFlops/Watt –which also puts Frontier at the No. 13 spot on the GREEN500. Staying in line with the last list, the Aurora system at the Argonne Leadership Computing Facility in Ill. is ranked second on the TOP500. Aurora is also now the second machine to break the exascale barrier with an HPL score of 1.012 EFlop/s – an improvement over the 585.34 PFlop/s score for the last edition. The Aurora system is based on HPE Cray EX- Intel Exascale Computer Blade and uses Intel Xeon CPU Max series processors, Intel Data Center GPU Max Series accelerators, and a Slingshot-11 interconnect. TOP500 notes that Aurora achieved this rank while currently being decommissioned and not fully complete. The systems rounding out the top five also remained consistent. A system called Eagle disrupted the list in late 2023, but it maintained its No. 3 position in this ranking. Installed on the Microsoft Azure Cloud in the U.S. The Eagle system continues to be the highest-ranking cloud system on the TOP500. The Eagle’s Microsoft NDv5 system has an HPL score of 561.2 PFlop/s and is based on Intel Xeon Platinum 8480C processors and Nvidia H100 accelerators. The Supercomputer Fugaku and LUMI systems also retained their No. 4 and No. 5 positions, respectively. Based in Kobe, Japan, Fugaku has an HPL score of 442 PFlop/s and continues to be the highest-ranked system outside of the U.S. The LUMI system at EuroHPC/CSC in Finland – the largest system in Europe – also stayed put in its No. 5 spot with an HPL core of 380 PFlop/s. One newcomer to the list, the Alps machine from the Swiss National Supercomputing Centre (CSCS) in Switzerland, achieved an HPL score of 270 PFlop/s, landing at No. 6 in this edition’s ranking. Sierra, the system installed on at the Lawrence Livermore National Laboratory in Calif., fell off the list this time, previously ranked No. 10 in November 2023. Here is a breakdown of specific details for the 10 overall fastest supercomputer systems on the TOP500 list for May 2024: #1: Frontier This HPE Cray EX system is the first U.S. system with a performance exceeding one Exaflop/s. It is installed at the ORNL in Tenn., where it is operated for the Department of Energy (DOE). Cores: 8,699,904 Rmax (PFLOPS): 1,206.00 Rpeak (PFLOPS): 1,714.81 Power (kW): 22,786 #2: Aurora The Aurora system is installed at the Argonne Leadership Computing Facility, Illinois, USA, where it is also operated for the DOE and holds a preliminary HPL score of 1.012 Exaflop/s. Cores: 9,264,128 Rmax (PFLOPS): 1,012.00 Rpeak (PFLOPS): 1,980.01 Power (kW): 38,698 #3: Eagle The No. 3 system is installed by Microsoft in its Azure cloud. This Microsoft NDv5 system is based on Xeon Platinum 8480C processors and Nvidia H100 accelerators and achieved an HPL score of 561 Pflop/s. Cores: 2,073,600 Rmax (PFLOPS): 561.20 Rpeak (PFLOPS): 846.84 #4: Supercomputer Fugaku This system is installed at the RIKEN Center for Computational Science (R-CCS) in Kobe, Japan. It has 7,630,848 cores which allowed it to achieve an HPL benchmark score of 442 Pflop/s. Cores: 7,630,848 Rmax (PFLOPS): 442.01 Rpeak (PFLOPS): 537.21 Power (kW): 29,899 #5: LUMI Located in CSC’s data center in Kajaani, Finland, the European High-Performance Computing Joint Undertaking (EuroHPC JU) is pooling European resources to develop top-of-the-range Exascale supercomputers for processing big data. Cores: 2,752,704 Rmax (PFLOPS): 379.70 Rpeak (PFLOPS): 531.51 Power (kW): 7,107 #6: Alps (new to the list) This system is an HPE Cray EX254n system with Nvidia Grace 72C and Nvidia GH200 Superchip and a Slingshot-11 interconnect, achieving 270 PFlop/s. Cores: 1, 305,600 Rmax (PFLOPS): 270.00 Rpeak (PFLOPS): 353.75 Power (kW): 5,194 #7: Leonardo (previously #6) The Leonardo system is installed at another EuroHPC site in CINECA, Italy. It is an Atos BullSequana XH2000 system with Xeon Platinum 8358 32C 2.6GHz as main processors, NVIDIA A100 SXM4 40 GB as accelerators, and Quad-rail NVIDIA HDR100 Infiniband as interconnect. Cores: 1,824,768 Rmax (PFLOPS): 241.20 Rpeak (PFLOPS): 306.31 Power (kW): 7,494 #8: MareNostrum 5 ACC The MareNostrum 5 ACC system was remeasured and jumped in the ranking over the Summit system. It is now at No. 8 and installed at the EuroHPC/Barcelona Supercomputing Center in Spain. Cores: 663,040 Rmax (PFLOPS): 175.30 Rpeak (PFLOPS): 249.44 Power (kW): 4,159 #9: Summit (previously #7) Housed at the ORNL in Tenn., the IBM-built Summit system has 4,356 nodes, each one housing two POWER9 CPUs with 22 cores each and six NVIDIA Tesla V100 GPUs each with 80 streaming multiprocessors (SM). Cores: 2,414,592 Rmax (PFLOPS): 148.60 Rpeak (PFLOPS): 200.79 Power (kW): 10,096 #10: Eos NVIDIA DGX SuperPOD (previously #9) This system is based on the NVIDIA DGX H100 with Xeon Platinum 8480C processors, NVIDIA H100 accelerators, and Infiniband NDR400 and it achieves 121.4 PFlop/s. Cores: 485,888 Rmax (PFLOPS): 121.40 Rpeak (PFLOPS): 188.65 Related content how-to Compressing files using the zip command on Linux The zip command lets you compress files to preserve them or back them up, and you can require a password to extract the contents of a zip file. By Sandra Henry-Stocker May 13, 2024 4 mins Linux news High-bandwidth memory nearly sold out until 2026 While it might be tempting to blame Nvidia for the shortage of HBM, it’s not alone in driving high-performance computing and demand for the memory HPC requires. 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