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Archive: https://archive.today/bQPIq

From the post:

>GPUs are massively parallel processors with thousands of cores designed to handle many operations at once. To use a software development analogy, consider a CPU as a single-threaded application that excels at complex, sequential tasks but can only handle a few operations at a time. In contrast, a GPU is like a multi-threaded application with thousands of threads, each handling a small part of the task simultaneously. While the CPU is great for intricate, step-by-step processes, the GPU's strength lies in processing vast amounts of data quickly through parallelism.

Archive: https://archive.today/bQPIq From the post: >>GPUs are massively parallel processors with thousands of cores designed to handle many operations at once. To use a software development analogy, consider a CPU as a single-threaded application that excels at complex, sequential tasks but can only handle a few operations at a time. In contrast, a GPU is like a multi-threaded application with thousands of threads, each handling a small part of the task simultaneously. While the CPU is great for intricate, step-by-step processes, the GPU's strength lies in processing vast amounts of data quickly through parallelism.

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