Exascale computing

Computer systems capable of one exaFLOPS

Exascale computing refers to computing systems capable of calculating at least 1018 IEEE 754 double precision (64-bit) operations (multiplications and/or additions) per second (exaFLOPS)"; it is a measure of supercomputer performance. Exascale computing is a significant achievement in computer engineering: primarily, it allows improved scientific applications and better prediction accuracy in domains such as weather forecasting, climate modeling and personalised medicine.

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Exascale computing

Computer systems capable of one exaFLOPS

Exascale computing refers to computing systems capable of calculating at least 1018 IEEE 754 double precision (64-bit) operations (multiplications and/or additions) per second (exaFLOPS)"; it is a measure of supercomputer performance. Exascale computing is a significant achievement in computer engineering: primarily, it allows improved scientific applications and better prediction accuracy in domains such as weather forecasting, climate modeling and personalised medicine.

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From Wikipedia

Exascale computing refers to computing systems capable of calculating at least 1018 IEEE 754 double precision (64-bit) operations (multiplications and/or additions) per second (exaFLOPS)"; it is a measure of supercomputer performance. Exascale computing is a significant achievement in computer engineering: primarily, it allows improved scientific applications and better prediction accuracy in domains such as weather forecasting, climate modeling and personalised medicine. Exascale also reaches the estimated processing power of the human brain at the neural level, a target of the now defunct Human Brain Project. There has been a race to be the first country to build an exascale computer, typically ranked in the TOP500 list. In 2022, the world's first public exascale computer, Frontier, was announced. As of June 2026, Shenzhen Cloud Computing Center Co., Ltd's LineShine is the world's fastest exascale supercomputer.

Text: Wikipédia, CC BY-SA 4.0. · Image: Carlos Jones/ORNL (CC BY 2.0) ·

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