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1.10 PFLOPS* 2009 Oak Ridge National Laboratory: Cray: Jaguar: 1.75 PFLOPS* [31] 2010 China: National Supercomputing Center of Tianjin: National University of Defense Technology: Tianhe-1A: 2.57 PFLOPS* [32] 2011 Japan: RIKEN Advanced Institute for Computational Science: Fujitsu: K computer: 10.51 PFLOPS* [33] 2012 United States: Lawrence ...
AMD GPUs have taken the top 1 and displaced Nvidia in top 10 part of the list. The recent exceptions include the aforementioned Fugaku, Sunway TaihuLight, and K computer. Tianhe-2A is also an interesting exception, as US sanctions prevented use of Xeon Phi; instead, it was upgraded to use the Chinese-designed Matrix-2000 [10] accelerators.
2×10 15: Nvidia DGX-2 a 2 Petaflop Machine Learning system (the newer DGX A100 has 5 Petaflop performance) 11.5×10 15: Google TPU pod containing 64 second-generation TPUs, May 2017 [9] 17.17×10 15: IBM Sequoia's LINPACK performance, June 2013 [10] 20×10 15: roughly the hardware-equivalent of the human brain according to Ray Kurzweil.
On June 10, 2013, China's Tianhe-2 was ranked the world's fastest with 33.86 petaFLOPS. [63] On June 20, 2016, China's Sunway TaihuLight was ranked the world's fastest with 93 petaFLOPS on the LINPACK benchmark (out of 125 peak petaFLOPS). The system was installed at the National Supercomputing Center in Wuxi, and represented more performance ...
It became the fastest supercomputer in the world in the June 2020 TOP500 list [6] as well as becoming the first ARM architecture-based computer to achieve this. [7] At this time it also achieved 1.42 exaFLOPS using the mixed fp16/fp64 precision HPL-AI benchmark. It started regular operations in 2021. [8]
The annual worldwide market share of personal computer vendors includes desktop computers, laptop computers, and netbooks but excludes mobile devices, such as tablet computers that do not fall under the category of 2-in-1 PCs.
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