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Högprestandabearbetning, often translated as high-performance computing (HPC), refers to the practice of aggregating computing power to solve problems that are too complex or require too much data for standard computers. This is achieved through the use of supercomputers or clusters of interconnected computers. HPC systems are designed for massive parallel processing, allowing them to execute a vast number of calculations simultaneously.

The primary goal of högprestandabearbetning is to accelerate scientific research, engineering simulations, and data analysis. Applications span across various fields, including weather forecasting, climate modeling, drug discovery, nuclear simulations, financial modeling, and artificial intelligence research. By significantly reducing the time it takes to complete complex computations, HPC enables researchers and engineers to explore new possibilities, refine designs, and gain deeper insights from data.

HPC systems are characterized by their high-speed processors, large amounts of memory, and extremely fast interconnects for communication between nodes. The development and maintenance of these systems require specialized expertise in hardware, software, and parallel programming. The demand for increased computing power continues to drive innovation in HPC, with ongoing efforts to improve performance, energy efficiency, and accessibility.