2024年4月22日发(作者：平板电脑windows系统哪个牌子好)
高性能计算 专项 指南 2023
High-performance computing (HPC) is the use of
supercomputers and other powerful computing resources to
solve complex problems that require extensive computational
power. HPC is used in a wide variety of applications,
including:
Scientific research: HPC is used to simulate complex
physical systems, such as climate models and molecular
dynamics simulations.
Engineering design: HPC is used to design and test new
products, such as cars and airplanes.
Financial modeling: HPC is used to develop and run
financial models, such as those used by banks and
investment firms.
Data analysis: HPC is used to analyze large datasets,
such as those collected by social media companies and e-
commerce retailers.
The demand for HPC is growing rapidly, driven by the
increasing complexity of scientific and engineering
problems and the explosion of data. To meet this demand, a
new generation of HPC systems is being developed. These
systems are based on new technologies, such as exascale
computing and artificial intelligence (AI), and they are
capable of delivering unprecedented levels of performance.
The HPC landscape is constantly evolving, and it is
important to stay up-to-date on the latest trends. This
guide will provide you with an overview of the current
state of HPC and will help you to understand how HPC can be
used to solve your most challenging problems.
Key Trends in HPC.
The following are some of the key trends in HPC:
Exascale computing: Exascale computing refers to the
development of systems that can perform at least one
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