2023년 11월 슈퍼컴퓨터 성능 순위가 발표됐습니다. 

 

1위는 프론티어입니다. AMD 에픽 3세대 64코어 프로세서에 인스팅트 MI250X 조합으로 1.679TFlops의 성능을 냅니다. 

 

HIGHLIGHTS - NOVEMBER 2023

This is the 62nd edition of the TOP500.

The 62^nd edition of the TOP500 shows five new or upgraded entries in the top 10 but the Frontier system still remains the only true exascale machine with an HPL score of 1.194 Exaflop/s.

The Frontier system at the Oak Ridge National Laboratory, Tennessee, USA remains the No. 1 system on the TOP500 and is still the only system reported with an HPL performance exceeding one Exaflop/s. Frontier brought the pole position back to the USA one year ago on the June 2022 listing and has since been remeasured with an HPL score of 1.194 Exaflop/s.  

Frontier is based on the latest HPE Cray EX235a architecture and is equipped with AMD EPYC 64C 2GHz processors. The system has 8,699,904 total cores, a power efficiency rating of 52.59 gigaflops/watt, and relies on HPE’s Slingshot 11 network for data transfer.  

The Aurora system at the Argonne Leadership Computing Facility, Illinois, USA is currently being commissioned and will at full scale exceed Frontier with a peak performance of 2 Exaflop/s. It was submitted with a measurement on half of the final system achieving 585 Petaflop/s on the HPL benchmark which secured the No. 2 spot on the TOP500.

Aurora is built by Intel based on the HPE Cray EX - Intel Exascale Compute Blade which uses Intel Xeon CPU Max Series processors and Intel Data Center GPU Max Series accelerators which communicate through HPE’s Slingshot-11 network interconnect.

The Eagle system installed in the Microsoft Azure cloud in the USA is newly listed as No. 3. This Microsoft NDv5 system is based on Intel Xeon Platinum 8480C processors and NVIDIA H100 accelerators and achieved an HPL score of 561 Pflop/s.

The Fugaku system at the RIKEN Center for Computational Science (R-CCS) in Kobe, Japan is at No. 4 the first system listed outside of the USA. It previously held from June 2020 until November 2021 the No. 1 position on the TOP500.  Its HPL benchmark score of 442 Pflop/s, is now only sufficient for the No. 4 spot.   

The LUMI system at EuroHPC/CSC in Finland has been further upgraded and is now listed as No. 5 worldwide. It remains the largest system in Europe and is listed with and HPL score to now 380 Pflop/s.  

Here is a summary of the system in the Top 10:

• Frontier remains the No. 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 Exaflop/s using 8,699,904 cores. The HPE Cray EX architecture combines 3rd Gen AMD EPYC™ CPUs optimized for HPC and AI, with AMD Instinct™ 250X accelerators, and a Slingshot-11 interconnect.

• Aurora achieved the No. 2 spot by submitting an HPL score of 585 Pflop/s measured on half of the full system. It is installed at the Argonne Leadership Computing Facility, Illinois, USA, where it is also operated for the Department of Energy (DOE). This new Intel system is based on HPE Cray EX - Intel Exascale Compute Blades. It uses Intel Xeon CPU Max Series processors, Intel Data Center GPU Max Series accelerators, and a Slingshot-11 interconnect.

• Eagle the new 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.

• Fugaku, the No. 4 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 (again) upgraded LUMI system, another HPE Cray EX system installed at EuroHPC center at CSC in Finland is now the No. 5 with a performance of 380 Pflop/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 center in Kajaani, Finland.

Rank	Site	System	Cores	Rmax (TFlop/s)	Rpeak (TFlop/s)	Power (kW)
1	DOE/SC/Oak Ridge National Laboratory United States	Frontier - HPE Cray EX235a, AMD Optimized 3rd Generation EPYC 64C 2GHz, AMD Instinct MI250X, Slingshot-11 HPE	8,699,904	1,194.00	1,679.82	22,703
2	DOE/SC/Argonne National Laboratory United States	Aurora - HPE Cray EX - Intel Exascale Compute Blade, Xeon CPU Max 9470 52C 2.4GHz, Intel Data Center GPU Max, Slingshot-11 Intel	4,742,808	585.34	1,059.33	24,687
3	Microsoft Azure United States	Eagle - Microsoft NDv5, Xeon Platinum 8480C 48C 2GHz, NVIDIA H100, NVIDIA Infiniband NDR Microsoft	1,123,200	561.20	846.84
4	RIKEN Center for Computational Science Japan	Supercomputer Fugaku - Supercomputer Fugaku, A64FX 48C 2.2GHz, Tofu interconnect D Fujitsu	7,630,848	442.01	537.21	29,899
5	EuroHPC/CSC Finland	LUMI - HPE Cray EX235a, AMD Optimized 3rd Generation EPYC 64C 2GHz, AMD Instinct MI250X, Slingshot-11 HPE	2,752,704	379.70	531.51	7,107
6	EuroHPC/CINECA Italy	Leonardo - BullSequana XH2000, Xeon Platinum 8358 32C 2.6GHz, NVIDIA A100 SXM4 64 GB, Quad-rail NVIDIA HDR100 Infiniband EVIDEN	1,824,768	238.70	304.47	7,404
7	DOE/SC/Oak Ridge National Laboratory United States	Summit - IBM Power System AC922, IBM POWER9 22C 3.07GHz, NVIDIA Volta GV100, Dual-rail Mellanox EDR Infiniband IBM	2,414,592	148.60	200.79	10,096
8	EuroHPC/BSC Spain	MareNostrum 5 ACC - BullSequana XH3000, Xeon Platinum 8460Y+ 40C 2.3GHz, NVIDIA H100 64GB, Infiniband NDR200 EVIDEN	680,960	138.20	265.57	2,560
9	NVIDIA Corporation United States	Eos NVIDIA DGX SuperPOD - NVIDIA DGX H100, Xeon Platinum 8480C 56C 3.8GHz, NVIDIA H100, Infiniband NDR400 Nvidia	485,888	121.40	188.65
10	DOE/NNSA/LLNL United States	Sierra - IBM Power System AC922, IBM POWER9 22C 3.1GHz, NVIDIA Volta GV100, Dual-rail Mellanox EDR Infiniband IBM / NVIDIA / Mellanox	1,572,480	94.64	125.71	7,438

• The No. 6 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 now listed at the No. 7 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.

• The MareNostrum 5 ACC system is new at No. 8 and installed at the EuroHPC/Barcelona Supercomputing Center in Spain. This BullSequana XH3000 system uses Xeon Platinum 8460Y processors with NVIDIA H100 and Infiniband NDR200. It achieved 183.2 Pflop/s HPL performance.

• The new Eos system listed at No. 9 is a NVIDIA DGX SuperPOD based system at NVIDIA, USA. It is based on the NVIDIA DGX H100 with Xeon Platinum 8480C processors,N VIDIA H100 accelerators, and Infiniband NDR400 and it achieves 121.4 Pflop/s.

• Sierra, a system at the Lawrence Livermore National Laboratory, CA, USA is at No. 10. Its architecture is very similar to the #7 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.

Highlights from the List

• A total of 186 systems on the list are using accelerator/co-processor technology, up from 184 six months ago. 78 of these use NVIDIA Ampere chips, 65 use NVIDIA Volta, and 11 systems with 17.

  		Count	System Share (%)	Rmax (TFlops)	Rpeak (TFlops)	Cores
  1	NVIDIA Tesla V100	50	10	193,697	366,711	3,807,768
  2	NVIDIA A100	27	5.4	329,415	494,544	3,340,224
  3	NVIDIA A100 SXM4 40 GB	17	3.4	183,039	256,548	1,863,032
  4	NVIDIA Tesla A100 80G	11	2.2	125,864	167,923	1,088,032
  5	NVIDIA A100 SXM4 80 GB	11	2.2	64,250	75,189	582,720
  6	AMD Instinct MI250X	10	2	1,741,739	2,445,340	12,660,800
  7	NVIDIA Tesla V100 SXM2	10	2	88,521	177,436	1,997,584
  8	NVIDIA Tesla A100 40G	9	1.8	60,912	98,037	642,884
  9	NVIDIA Tesla P100	5	1	42,903	60,653	839,200
  10	NVIDIA H100	5	1	590,169	891,871	1,194,024
  11	NVIDIA Volta GV100	4	0.8	269,439	362,565	4,408,096
  12	NVIDIA H100 SXM5 80 GB	4	0.8	176,375	290,081	743,888
  13	Intel Data Center GPU Max 1550	2	0.4	23,335	59,843	199,872
  14	Intel Data Center GPU Max	2	0.4	602,531	1,087,283	4,892,568
  15	NVIDIA A100 SXM4 64 GB	2	0.4	242,205	309,448	1,849,824
  16	NVIDIA Tesla K40	2	0.4	7,154	12,264	145,600
  17	NVIDIA Tesla P100 NVLink	1	0.2	8,125	12,127	135,828
  18	NVIDIA H100 64GB	1	0.2	138,200	265,574	680,960
  19	Preferred Networks MN-Core	1	0.2	2,180	3,348	1,664
  20	Nvidia Volta V100	1	0.2	21,640	29,354	347,776
  21	NVIDIA HGX A100 80GB 500W	1	0.2	2,146	3,508	21,168
  22	NVIDIA Tesla K80	1	0.2	2,592	3,799	66,000
  23	Intel Xeon Phi 31S1P	1	0.2	2,071	3,075	174,720
  24	Deep Computing Processor	1	0.2	4,325	6,134	163,840
  25	Intel Xeon Phi 5110P	1	0.2	2,539	3,388	194,616
  26	NVIDIA Tesla K20x	1	0.2	3,188	4,605	72,000
  27	Matrix-2000	1	0.2	61,445	100,679	4,981,760
  28	AMD Instinct MI210 64 GB	1	0.2	9,087	19,344	96,768
  29	NVIDIA 2050	1	0.2	2,566	4,701	186,368
  30	NVIDIA Tesla K40m	1	0.2	2,478	4,947	64,384

   

   

• Intel continues to provide the processors for the largest share (67.60 percent) of TOP500 systems, down from 72.00 % six months ago. 140 (28.00 %) of the systems in the current list used AMD processors, up from 24.20 % six months ago.

• The entry level to the list moved up to the 2.02 Pflop/s mark on the Linpack benchmark.

• The last system on the newest list was listed at position 455 in the previous TOP500.

• Total combined performance of all 500 exceeded the Exaflop barrier with now 7.03 exaflop/s (Eflop/s) up from 5.24 exaflop/s (Eflop/s) 6 months ago.

• The entry point for the TOP100 increased to 7.89 Pflop/s.

• The average concurrency level in the TOP500 is 212,627 cores per system up from 190,919 six months ago.

General Trends

Installations by countries/regions:

		Count	System Share (%)	Rmax (TFlops)	Rpeak (TFlops)	Cores
1	United States	161	32.2	3,725,851	5,711,149	40,077,020
2	China	104	20.8	407,240	770,545	22,605,992
3	Germany	36	7.2	256,266	391,133	4,292,044
4	Japan	32	6.4	669,834	866,458	11,374,380
5	France	23	4.6	173,226	249,513	3,967,832
6	United Kingdom	15	3	81,707	142,086	2,048,112
7	Italy	12	2.4	351,758	463,800	4,427,376
8	South Korea	12	2.4	151,323	207,845	2,021,812
9	Netherlands	10	2	86,851	150,917	921,120
10	Canada	10	2	41,208	71,912	845,984
11	Brazil	9	1.8	55,709	106,041	868,096
12	Saudi Arabia	7	1.4	90,911	138,590	2,676,084
13	Russia	7	1.4	73,715	101,737	741,328
14	Australia	6	1.2	44,908	63,185	565,824
15	Sweden	6	1.2	47,601	68,808	408,256
16	Norway	5	1	15,955	24,964	425,920
17	Taiwan	5	1	31,595	43,027	559,728
18	Poland	4	0.8	13,813	20,495	224,064
19	Ireland	4	0.8	11,394	22,450	290,560
20	India	4	0.8	19,453	25,252	325,832
21	Singapore	3	0.6	9,038	15,786	234,112
22	Switzerland	3	0.6	26,667	36,407	584,992
23	Spain	3	0.6	184,773	322,242	1,559,936
24	Finland	3	0.6	391,388	546,193	3,116,992
25	Czechia	2	0.4	9,589	12,914	163,584
26	Austria	2	0.4	5,038	6,809	133,152
27	Slovenia	2	0.4	6,918	10,047	156,480
28	Bulgaria	2	0.4	7,045	9,154	164,224
29	Luxembourg	2	0.4	12,807	18,291	172,544
30	Morocco	1	0.2	3,158	5,015	71,232
31	Argentina	1	0.2	3,876	5,991	43,008
32	United Arab Emirates	1	0.2	7,257	9,492	107,568
33	Belgium	1	0.2	2,717	3,094	23,200
34	Hungary	1	0.2	3,105	4,508	27,776

HPC manufacturer:

		Count	System Share (%)	Rmax (TFlops)	Rpeak (TFlops)	Cores
1	Lenovo	169	33.8	607,475	1,102,594	15,455,216
2	HPE	103	20.6	2,450,983	3,433,844	30,023,316
3	EVIDEN	48	9.6	687,601	1,044,501	9,740,576
4	Inspur	34	6.8	77,234	192,784	1,661,600
5	DELL EMC	32	6.4	184,767	314,595	3,588,956
6	Nvidia	18	3.6	334,354	464,638	2,368,288
7	NEC	12	2.4	70,990	99,067	725,072
8	Fujitsu	12	2.4	566,894	717,062	9,803,088
9	Sugon	9	1.8	21,988	43,119	637,056
10	MEGWARE	7	1.4	22,774	32,680	372,840
11	Penguin Computing, Inc.	6	1.2	19,409	29,686	569,368
12	IBM	6	1.2	201,915	273,679	3,292,832
13	Microsoft Azure	6	1.2	150,370	224,747	1,328,640
14	NUDT	3	0.6	66,082	108,454	5,342,848
15	ACTION	3	0.6	7,994	63,814	178,368
16	Huawei Technologies Co., Ltd.	2	0.4	5,872	9,390	101,184
17	Intel	2	0.4	590,953	1,069,119	4,870,328
18	Liqid	2	0.4	5,393	7,518	102,144
19	IBM / NVIDIA / Mellanox	2	0.4	112,840	148,759	1,860,768
20	Quanta Computer / Taiwan Fixed Network / ASUS Cloud	2	0.4	11,298	19,563	220,752
21	YANDEX, NVIDIA	2	0.4	37,550	50,051	328,352
22	Cray Inc./Hitachi	2	0.4	11,461	18,250	271,584
23	NRCPC	1	0.2	93,015	125,436	10,649,600
24	NEC / DELL	1	0.2	6,708	7,627	125,440
25	ASUSTeK / ASUS Cloud / Taiwan Web Service Corporation	1	0.2	3,533	4,000	62,496
26	Preferred Networks	1	0.2	2,180	3,348	1,664
27	Supermicro	1	0.2	3,700	6,024	85,568
28	Amazon Web Services	1	0.2	9,950	15,107	172,692
29	MEGWARE / Supermicro	1	0.2	9,087	19,344	96,768
30	Nebius AI	1	0.2	46,540	86,792	218,880
31	Fujitsu / Lenovo	1	0.2	9,264	15,142	204,032
32	Netweb Technologies	1	0.2	8,500	13,170	81,344
33	NVIDIA, Inspur	1	0.2	12,810	20,029	130,944
34	ClusterVision / Hammer	1	0.2	2,969	4,335	64,512
35	Lenovo/IBM	1	0.2	2,814	3,578	86,016
36	Atipa Technology	1	0.2	2,539	3,388	194,616
37	Self-made	1	0.2	3,307	4,897	60,512
38	Format sp. z o.o.	1	0.2	5,051	7,709	47,616
39	Microsoft	1	0.2	561,200	846,835	1,123,200

Interconnect Technologies:

		Count	System Share (%)	Rmax (TFlops)	Rpeak (TFlops)	Cores
1	Infiniband	219	43.8	2,907,744	4,352,058	33,362,748
2	Gigabit Ethernet	209	41.8	3,092,269	4,917,199	38,035,068
3	Omnipath	33	6.6	166,863	248,630	3,748,420
4	Custom Interconnect	30	6	331,560	496,015	21,875,448
5	Proprietary Network	9	1.8	533,405	645,722	9,291,776

Processor Technologies:

		Count	System Share (%)	Rmax (TFlops)	Rpeak (TFlops)	Cores
1	Intel Cascade lake	137	27.4	477,852	932,186	11,253,276
2	Intel Skylake	95	19	344,621	655,060	7,839,400
3	AMD Zen-2 (Rome)	69	13.8	719,594	1,006,710	11,863,896
4	AMD Zen-3 (Milan)	66	13.2	2,090,713	2,957,925	20,296,256
5	Intel Ice Lake	36	7.2	405,639	591,413	4,899,532
6	Intel Sapphire Rapids	25	5	1,663,979	2,752,425	10,358,728
7	Intel Broadwell	18	3.6	69,439	86,885	2,048,008
8	Intel Haswell	11	2.2	55,575	75,864	1,653,660
9	Fujitsu ARM	8	1.6	530,839	641,021	9,105,408
10	Intel IvyBridge	7	1.4	82,953	132,610	5,841,172
11	Intel Xeon Phi	7	1.4	80,727	153,898	3,502,580
12	Power	7	1.4	311,567	417,833	5,081,600
13	NEC Vector Engine	5	1	47,143	60,692	208,064
14	AMD Zen-4 (Genoa)	5	1	48,755	55,442	1,167,456
15	ShenWei	1	0.2	93,015	125,436	10,649,600
16	Intel Nehalem	1	0.2	2,566	4,701	186,368
17	X86_64	1	0.2	4,325	6,134	163,840

Green500

• The data collection and curation of the Green500 project has been integrated with the TOP500 project. This allows submissions of all data through a single webpage at http://top500.org/submit

  Rank	TOP500 Rank	System	Cores	Rmax (TFlop/s)	Power (kW)	Energy Efficiency (GFlops/watts)
  1	293	Henri - ThinkSystem SR670 V2, Intel Xeon Platinum 8362 32C 2.8GHz, NVIDIA H100 80GB PCIe, Infiniband HDR , Lenovo Flatiron Institute United States	8,288	2.88	44	65.396
  2	44	Frontier TDS - HPE Cray EX235a, AMD Optimized 3rd Generation EPYC 64C 2GHz, AMD Instinct MI250X, Slingshot-11 , HPE DOE/SC/Oak Ridge National Laboratory United States	120,832	19.20	309	62.684
  3	17	Adastra - HPE Cray EX235a, AMD Optimized 3rd Generation EPYC 64C 2GHz, AMD Instinct MI250X, Slingshot-11 , HPE Grand Equipement National de Calcul Intensif - Centre Informatique National de l'Enseignement Suprieur (GENCI-CINES) France	319,072	46.10	921	58.021
  4	25	Setonix – GPU - HPE Cray EX235a, AMD Optimized 3rd Generation EPYC 64C 2GHz, AMD Instinct MI250X, Slingshot-11 , HPE Pawsey Supercomputing Centre, Kensington, Western Australia Australia	181,248	27.16	477	56.983
  5	92	Dardel GPU - HPE Cray EX235a, AMD Optimized 3rd Generation EPYC 64C 2GHz, AMD Instinct MI250X, Slingshot-11 , HPE KTH - Royal Institute of Technology Sweden	52,864	8.26	146	56.491
  6	8	MareNostrum 5 ACC - BullSequana XH3000, Xeon Platinum 8460Y+ 40C 2.3GHz, NVIDIA H100 64GB, Infiniband NDR200 , EVIDEN EuroHPC/BSC Spain	680,960	138.20	2,560	53.984
  7	5	LUMI - HPE Cray EX235a, AMD Optimized 3rd Generation EPYC 64C 2GHz, AMD Instinct MI250X, Slingshot-11 , HPE EuroHPC/CSC Finland	2,752,704	379.70	7,107	53.428
  8	1	Frontier - HPE Cray EX235a, AMD Optimized 3rd Generation EPYC 64C 2GHz, AMD Instinct MI250X, Slingshot-11 , HPE DOE/SC/Oak Ridge National Laboratory United States	8,699,904	1,194.00	22,703	52.592
  9	84	Goethe-NHR - Supermicro AS-4124GS-TNR, AMD EPYC 7452 32C 2.35GHz, AMD Instinct MI210 64 GB, Mellanox InfiniBand EDR , MEGWARE / Supermicro Universitaet Frankfurt Germany	96,768	9.09	195	46.543
  10	496	Olaf - Lenovo ThinkSystem SR675 V3, AMD EPYC 9334 32C 2.7GHz, NVIDIA H100, Infiniband NDR 400 , Lenovo Science Institute South Korea	3,936	2.03	45	45.117

• The system to claim the No. 1 spot for the GREEN500 is Henri at Flatiron Institute in the US. With 8,288 total cores and an HPL benchmark of 2.88 PFlop/s. Henri is a Lenovo ThinkSystem SR670 with Intel Xeon Platinum and Nvidia H100.

• In the second place is the Frontier Test & Development System (TDS) at ORNL in the US. With 120,832 total cores and an HPL benchmark of 19.2 PFlop/s, the Frontier TDS machine is basically just one rack identical to the actual Frontier system.

• The No. 3 spot was taken by the Adastra system. A HPE Cray EX235a system with AMD EPYC and AMD Instinct MI250X.

HPCG Results

• The Top500 list now includes the High-Performance Conjugate Gradient (HPCG) Benchmark results.

  Rank	TOP500 Rank	System	Cores	Rmax (TFlop/s)	HPCG (TFlop/s)
  1	4	Supercomputer Fugaku - Supercomputer Fugaku, A64FX 48C 2.2GHz, Tofu interconnect D , RIKEN Center for Computational Science Japan	7,630,848	442.01	16004.50
  2	1	Frontier - HPE Cray EX235a, AMD Optimized 3rd Generation EPYC 64C 2GHz, AMD Instinct MI250X, Slingshot-11 , DOE/SC/Oak Ridge National Laboratory United States	8,699,904	1,194.00	14054.00
  3	5	LUMI - HPE Cray EX235a, AMD Optimized 3rd Generation EPYC 64C 2GHz, AMD Instinct MI250X, Slingshot-11 , EuroHPC/CSC Finland	2,752,704	379.70	4586.95
  4	6	Leonardo - BullSequana XH2000, Xeon Platinum 8358 32C 2.6GHz, NVIDIA A100 SXM4 64 GB, Quad-rail NVIDIA HDR100 Infiniband , EuroHPC/CINECA Italy	1,824,768	238.70	3113.94
  5	7	Summit - IBM Power System AC922, IBM POWER9 22C 3.07GHz, NVIDIA Volta GV100, Dual-rail Mellanox EDR Infiniband , DOE/SC/Oak Ridge National Laboratory United States	2,414,592	148.60	2925.75
  6	12	Perlmutter - HPE Cray EX 235n, AMD EPYC 7763 64C 2.45GHz, NVIDIA A100 SXM4 40 GB, Slingshot-11 , DOE/SC/LBNL/NERSC United States	888,832	79.23	1905.00
  7	10	Sierra - IBM Power System AC922, IBM POWER9 22C 3.1GHz, NVIDIA Volta GV100, Dual-rail Mellanox EDR Infiniband , DOE/NNSA/LLNL United States	1,572,480	94.64	1795.67
  8	13	Selene - NVIDIA DGX A100, AMD EPYC 7742 64C 2.25GHz, NVIDIA A100, Mellanox HDR Infiniband , NVIDIA Corporation United States	555,520	63.46	1622.51
  9	18	JUWELS Booster Module - Bull Sequana XH2000 , AMD EPYC 7402 24C 2.8GHz, NVIDIA A100, Mellanox HDR InfiniBand/ParTec ParaStation ClusterSuite , Forschungszentrum Juelich (FZJ) Germany	449,280	44.12	1275.36
  10	50	AOBA-S - SX-Aurora TSUBASA B401-8, Vector Engine Type 30A 16C 1.6GHz, Infiniband NDR 200 , Cyberscience Center, Tohoku University Japan	64,512	17.22	1089.00

• Supercomputer Fugaku remains the leader on the HPCG benchmark with 16 PFlop/s.

• The DOE system Frontier at ORNL claims the second position with 14.05 HPCG-Pflop/s.

• The third position was captured by the upgraded LUMI system with 4.59 HPCG-petaflops.

HPL-MxP Results

On the HPL-MxP (formally HPL-AI) benchmark, which measures performance for mixed-precision calculation, Frontier already demonstrated 9.95 Exaflops!

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 the computation much higher performance is possible (see the Top 5 from the HPL-MxP benchmark), and using mathematical techniques, the same accuracy can be computed with the mixed precision technique when compared with straight 64-bit precision.

Rank (HPL-MxP)	Site	Computer	Cores	HPL-MxP (Eflop/s)	TOP500 Rank	HPL Rmax (Eflop/s)	Speedup of HPL-MxP over HPL
1	DOE/SC/ORNL, USA	Frontier, HPE Cray EX235a	8,699,904	9.950	1	1.1940	8.3
2	EuroHPC/CSC, Finland	LUMI, HPE Cray EX235a	2,752,704	2.350	5	0.3797	6.18
3	RIKEN, Japan	Fugaku, Fujitsu A64FX	7,630,848	2.000	4	0.4420	4.5
4	EuroHPC/CINECA, Italy	Leonardo, Bull Sequana XH2000	1,824,768	1.842	6	0.2387	7.7
5	DOE/SC/ORNL, USA	Summit, IBM AC922 POWER9	2,414,592	1.411	7	0.1486	9.5

About the TOP500 List

The first version of what became today’s TOP500 list started as an exercise for a small conference in Germany in June 1993. Out of curiosity, the authors decided to revisit the list in November 1993 to see how things had changed. About that time they realized they might be onto something and decided to continue compiling the list, which is now a much-anticipated, much-watched and much-debated twice-yearly event.

 

 

 

https://www.top500.org/lists/top500/2023/11/highs/