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M FLOPS [11] 1964 United States: Lawrence Livermore and Los Alamos: CDC: 6600: 3.00 MFLOPS [12] 1969 Lawrence Livermore National Laboratory: 7600: 36.00 MFLOPS [13] 1974 STAR-100: 100.00 MFLOPS [14] 1976 Los Alamos Scientific Laboratory: Cray: Cray-1: 160.00 MFLOPS [15] 1980 United Kingdom: Meteorological Office, Bracknell: CDC: Cyber 205: 400 ...
Measured at 62.86 gigaflops/watt, the smaller Frontier TDS (test and development system) topped the Green500 list for most efficient supercomputer [6] until it was dethroned in efficiency by the Flatiron Institute's Henri supercomputer in November 2022. [7] Frontier was superseded as the fastest supercomputer in the world by El Capitan in ...
Aurora is an exascale supercomputer that was sponsored by the United States Department of Energy (DOE) and designed by Intel and Cray for the Argonne National Laboratory. [2] It was briefly the second fastest supercomputer in the world from November 2023 to June 2024. The cost was estimated in 2019 to be US$500 million. [3]
The speeds of computers are measured in floating-point operations per second (FLOPS), and the fastest supercomputers currently functioning boast speeds in the realm of exaFLOPS—one quintillion ...
A powerful new supercomputer in California took Frontier's crown as the world's fastest.
Since 2022, supercomputers have existed which can perform over 10 18 FLOPS, so called exascale supercomputers. [3] For comparison, a desktop computer has performance in the range of hundreds of gigaFLOPS (10 11) to tens of teraFLOPS (10 13). [4] [5] Since November 2017, all of the world's fastest 500 supercomputers run on Linux-based operating ...
Share of processor families in TOP500 supercomputers by year [needs update]. As of June 2022, all supercomputers on TOP500 are 64-bit supercomputers, mostly based on CPUs with the x86-64 instruction set architecture, 384 of which are Intel EMT64-based and 101 of which are AMD AMD64-based, with the latter including the top eight supercomputers. 15 other supercomputers are all based on RISC ...
Selene was built in three months and is the fastest industrial system in the US while being the second-most energy-efficient supercomputing system ever. [ 7 ] Selene utilizing 1080 AMD Epyc CPUs and 4320 A100 GPUs is used to train BERT , the natural language processor , [ 8 ] in less than 16 seconds, which usually takes most smaller systems ...