2 US representatives topped the list of the world's fastest supercomputers
America has regained its advantage in the race that seems to have no end.
America has regained its advantage in the race that seems to have no end.
Since 2013, the United States and many great powers, both in Europe and Asia, have been caught up in a supercomputer battle when constantly equipping themselves with systems that handle day-to-day capabilities. more powerful to win the # 1 position - which often changes owners. In June 2017, the United States dropped its champion position, but regained a year later when Oak Ridge National Laboratory successfully built its own Summit supercomputer .
American Summit supercomputer.(Photo: MIT Technology Review).
Now, the patriotic experts will surely feel very pleased when the two fastest supercomputers in the world are all located in the US border - according to the List of SuperComputer TOP500 (top 500 supercomputers of the world) Latest. Following the main Summit is Sierra - supercomputer at the Lawrence Livermore National Library in California, completed for nuclear weapons research.
The TOP500 ranking method often uses a test called LINPACK to quickly assess the computing power of supercomputers, in units of 'flops' (floating - point operations per second or floating point calculation per second). ). Supercomputers, which are as powerful as their names, are usually petaflops threshold (million billion floating point calculations per second). According to the latest rankings, Summit achieved a score of 143.5 petaflops - the No. 1 stand, while Sierra also overthrew another Chinese representative to take the No. 2 spot with 122.3 petaflops.
In the last year, both Summit and Sierra still have a way and Thai Ho Chi Quang - two Chinese No.1 and No. 2 supercomputers - is quite a distance away, but this situation is completely reversed, thanks to efforts and an investment worth more than 250 million USD (mainly from funding sources) to bring advantages to America. It is known that both Summit and Sierra are solutions provided by IBM, equipped with Power9 type CPUs (developed by the company), and NVIDIA's V100 GPU (graphics processor) with number of cores 2.4 million (Summit) and 1.6 million (Sierra) respectively.
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