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High Performance Computing

High Performance Computing (HPC) refers to the practice of aggregating computing power to solve complex problems that require massive computational resources, such as simulations, data analysis, and scientific modeling. It typically involves parallel processing across clusters of computers, supercomputers, or specialized hardware to achieve high speeds and efficiency. HPC is essential in fields like weather forecasting, genomics, and artificial intelligence where traditional computing falls short.

Also known as: HPC, Supercomputing, Parallel Computing, High-Performance Computing, Cluster Computing
🧊Why learn High Performance Computing?

Developers should learn HPC when working on projects that involve large-scale data processing, scientific research, or real-time simulations, as it enables handling computationally intensive tasks efficiently. It is particularly valuable in industries like aerospace, finance, and healthcare, where speed and accuracy are critical for tasks such as risk modeling or drug discovery. Mastering HPC skills can lead to opportunities in cutting-edge research and high-demand technical roles.

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