Frontier remains the sole Exaflop supercomputer
The 61st edition of the TOP500 reveals that the Frontier system from Oak Ridge National Laboratory (ORNL) remains the only true exascale machine on the list.
The team behind Frontier have Increased its HPL score from 1.02 Eflop/s in November 2022 to an impressive 1.194 Eflop/s on this list. Frontier was able to improve upon its score after a stagnation between June 2022 and November 2022. An increase of roughly 17% increase is an enormous success as this further extends its lead over the top supercomputers.
Frontier earned a score of 9.95 Eflop/s on the HLP-MxP benchmark, which measures performance for mixed-precision calculation. This is also an increase over the 7.94 EFlop/s that the system achieved on the previous list and nearly 10 times more powerful than the machine’s HPL score. Frontier is based on the HPE Cray EX235a architecture and utilises AMD EPYC 64C 2GHz processors. It also has 8,699,904 cores and an incredible energy efficiency rating of 52.59 Gflops/watt. The system relies on gigabit ethernet for data transfer.
The Fugaku system at the Riken Center for Computational Science (R-CCS) in Kobe, Japan, also remained at the #2 spot that it earned on the previous list. The system held steady at its previous HPL score of 0.442 Eflop/s.
The LUMI system at EuroHPC/CSC in Finland entered the list in June 2022 at #3. It is listed as #3 after an upgrade of the system last November and has an HPL score of 0.3091 Eflop/s. With this, it remains the largest system in Europe.
The Leonardo system at EuroHPC/CINECA in Bologna, Italy, remains at the #4 spot. It also saw upgrades that allowed it to improve upon its score, achieving an HPL score of 0.239 Eflop/s in comparison to its previous score of 0.174 EFlop/s.
Here is a summary of the system in the Top 10:
Frontier is the #1 system in the TOP500. This HPE Cray EX system is the first US system with a performance exceeding one Exaflop/s. It is installed at the Oak Ridge National Laboratory (ORNL) in Tennessee, USA, where it is operated for the Department of Energy (DOE). It currently has achieved 1.194 Eflop/s using 8,699,904 cores. The HPE Cray EX architecture combines 3rd Gen AMD EPYC CPUs optimised for HPC and AI, with AMD Instinct™ 250X accelerators, and Slingshot-10 interconnect.
Fugaku, the #2 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.
The LUMI system, another HPE Cray EX system installed at EuroHPC center at CSC in Finland is the #3 with a performance of 0.3091 Eflop/s. 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. One of the pan-European pre-Exascale supercomputers, LUMI, is located in CSC’s data centre in Kajaani, Finland.
The #4 system Leonardo is installed at a different 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. It achieved a Linpack performance of 238.7 Pflop/s.
Summit, an IBM-built system at the Oak Ridge National Laboratory (ORNL) in Tennessee, USA, is again listed at the #5 spot worldwide with a performance of 148.8 Pflop/s on the HPL benchmark, which is used to rank the TOP500 list. Summit 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). The nodes are linked together with a Mellanox dual-rail EDR InfiniBand network.
Sierra, a system at the Lawrence Livermore National Laboratory, CA, USA is at #6. Its architecture is very similar to the #5 system’s Summit. It is built with 4,320 nodes with two POWER9 CPUs and four NVIDIA Tesla V100 GPUs. Sierra achieved 94.6 Pflop/s.
Sunway TaihuLight, a system developed by China’s National Research Center of Parallel Computer Engineering & Technology (NRCPC) and installed at the National Supercomputing Center in Wuxi, which is in China's Jiangsu province is listed at the #7 position with 93 Pflop/s.
Perlmutter at #8 is based on the HPE Cray “Shasta” platform and a heterogeneous system with AMD EPYC-based nodes and 1,536 NVIDIA A100 accelerated nodes. Perlmutter achieved 64.6 Pflop/s
Selene now at #9 is an NVIDIA DGX A100 SuperPOD installed in-house at NVIDIA in the USA. The system is based on AMD EPYC processor with NVIDIA A100 for acceleration and a Mellanox HDR InfiniBand as network and achieved 63.4 Pflop/s.
Tianhe-2A (Milky Way-2A), a system developed by China’s National University of Defense Technology (NUDT) and deployed at the National Supercomputer Center in Guangzhou, China is now listed as the #10 system with 61.4 Pflop/s.
Other TOP500 Highlights
The TOP500 list shows that AMD, Intel, and IBM processors are the preferred choice for HPC systems. Out of the TOP10, four systems use AMD processors (Frontier, LUMI, Perlmutter, and Selene), two use Intel processors (Leonardo and Tianhe-2A), and two use IBM processors (Summit and Sierra.)
Much like the previous list, China and the United States earned most of the entries on the entire TOP500 list. The United States increased its lead from 126 machines on the last list to 150 on the current list, while China dropped from 162 systems to 134. In terms of entire continents, Asia as a whole saw 192 machines on the list, North America added 160 systems, and Europe offered 133 systems.
In terms of system interconnects, ethernet was still the clear winner despite dropping from 233 machines to 227. Infiniband interconnects increased their presence on the list from 194 machines to 200, and Omnipath dropped from 36 machines to 35. Custom interconnects saw a massive increase from 4 systems to 31.
The #1 spot on the GREEN500 was again earned by the Henri system at the Flatiron Institute in New York City, United States, with an energy efficiency of 65.40 Gflops/Watt. What’s more, improvements to the system allowed it to achieve an impressive jump on the TOP500 list from the #405 spot to #255 with a current HPL score of 2.88 Pflop/s – an increase over last list’s score of 2.038 Pflop/s. Henri has 8,288 and is a Lenovo ThinkSystem SR670 with Intel Xeon Platinum and Nvidia H100.
The #2 spot was achieved by the Frontier Test & Development System (TDS) at ORNL in the United States with an energy efficiency rating of 62.20 Gflops/Watt. The Frontier TDS system is simply a single rack identical to the actual Frontier system and has an HPL score of 19.2 Pflop/s.
The #3 spot was taken by the Adastra system. A HPE Cray EX235a system with AMD EPYC and AMD Instinct MI250X.
Additionally, the actual Frontier system deserves an honourable mention in terms of its energy efficiency. Despite its No.1 spot on the TOP500 list with an HPL score of 1.194 Eflop/s, this machine was still able to achieve a #6 spot on the GREEN500 with an energy efficiency rating of 52.59 Gflops/Watt.
The HPL performance of each of these systems proves that immense power does not have to come at the cost of inefficient energy usage.
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.
The Fugaku system once again achieved the top position on the HPCG by holding to its previous score of 16.0 HPCG-Pflop/s. Frontier claimed the #2 spot with 14.05 HPCG-Pflop/s and #3 was captured by LUMI with a score of 3.41 HPCG-Pflop/s.
HPL-MxP Results (Formally 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.
The clear winner of the HPL-MxP benchmark is Frontier, with a stunning score of 9.95 Eflop/s that improves heavily upon its previous score of 7.9 EFlop/s. Second place was awarded to LUMI with a score of 2.2 Eflop/s and Fugaku earned third place with a score of 2.0 Eflop/s.